From 5023babba33a1421f0cedac484ad543e61ca4cb7 Mon Sep 17 00:00:00 2001
From: Benjamin Gutzmann <gutzemann@gmail.com>
Date: Sun, 24 Mar 2024 16:26:24 +0100
Subject: [PATCH] Migrate explorer to streamlit

---
 CHANGELOG.rst                                 |    2 +
 README.rst                                    |    4 +-
 docs/img/wetterdienst_explorer.png            |  Bin 1554835 -> 102028 bytes
 docs/usage/explorer.rst                       |   38 +-
 docs/usage/index.rst                          |    1 -
 docs/usage/streamlit.rst                      |    5 -
 poetry.lock                                   | 1309 ++++++-----------
 pyproject.toml                                |   18 +-
 tests/ui/explorer/__init__.py                 |    0
 tests/ui/explorer/conftest.py                 |   54 -
 tests/ui/explorer/test_explorer.py            |  286 ----
 wetterdienst/core/timeseries/request.py       |   15 +-
 wetterdienst/ui/cli.py                        |   27 +-
 wetterdienst/ui/explorer.py                   |  281 ++++
 wetterdienst/ui/explorer/__init__.py          |    0
 wetterdienst/ui/explorer/app.py               |  607 --------
 wetterdienst/ui/explorer/assets/styles.css    |   48 -
 wetterdienst/ui/explorer/layout/__init__.py   |    0
 wetterdienst/ui/explorer/layout/main.py       |   61 -
 .../explorer/layout/observations_germany.py   |  138 --
 wetterdienst/ui/explorer/library.py           |   50 -
 wetterdienst/ui/explorer/util.py              |    7 -
 .../ui/{streamlit => }/requirements.txt       |    0
 wetterdienst/ui/streamlit/__init__.py         |    0
 wetterdienst/ui/streamlit/app.py              |  214 ---
 25 files changed, 763 insertions(+), 2402 deletions(-)
 delete mode 100644 docs/usage/streamlit.rst
 delete mode 100644 tests/ui/explorer/__init__.py
 delete mode 100644 tests/ui/explorer/conftest.py
 delete mode 100644 tests/ui/explorer/test_explorer.py
 create mode 100644 wetterdienst/ui/explorer.py
 delete mode 100644 wetterdienst/ui/explorer/__init__.py
 delete mode 100644 wetterdienst/ui/explorer/app.py
 delete mode 100644 wetterdienst/ui/explorer/assets/styles.css
 delete mode 100644 wetterdienst/ui/explorer/layout/__init__.py
 delete mode 100644 wetterdienst/ui/explorer/layout/main.py
 delete mode 100644 wetterdienst/ui/explorer/layout/observations_germany.py
 delete mode 100644 wetterdienst/ui/explorer/library.py
 delete mode 100644 wetterdienst/ui/explorer/util.py
 rename wetterdienst/ui/{streamlit => }/requirements.txt (100%)
 delete mode 100644 wetterdienst/ui/streamlit/__init__.py
 delete mode 100644 wetterdienst/ui/streamlit/app.py

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index e5855bdd9..8af55f303 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -4,6 +4,8 @@ Changelog
 Development
 ***********
 
+- Migrate explorer to streamlit
+
 0.79.0 (21.03.2024)
 *******************
 
diff --git a/README.rst b/README.rst
index 7db75d313..c91f0f206 100644
--- a/README.rst
+++ b/README.rst
@@ -122,14 +122,12 @@ Features
 - Define general settings in Settings context
 - Command line interface
 - Web-API via FastAPI
-- Rich UI features like wetterdienst explorer and `streamlit app`_
+- Rich UI features like `wetterdienst explorer <https://wetterdienst.streamlit.app>`_
 - Run SQL queries on the results
 - Export results to databases and other data sinks
 - Public Docker image
 - Interpolation and Summary of station values
 
-.. _streamlit app: https://wetterdienst.streamlit.app
-
 Setup
 *****
 
diff --git a/docs/img/wetterdienst_explorer.png b/docs/img/wetterdienst_explorer.png
index d56315403a335f80df898a0db1a1dbb72d17840a..f1cd410710fe02e4c17af2c969f12b2cb6de544d 100644
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diff --git a/docs/usage/explorer.rst b/docs/usage/explorer.rst
index fc62f30bf..9a8de5399 100644
--- a/docs/usage/explorer.rst
+++ b/docs/usage/explorer.rst
@@ -9,13 +9,8 @@ Navigator for wetterdienst provided open data.
 Introduction
 ************
 
-Welcome to Wetterdienst Explorer, your friendly web-based GUI for the
-Wetterdienst weather service library for Python. This web UI can easily be
-self-hosted.
-
-The implementation is still in its infancy, so we are happy about further
-contributions.
-
+Welcome to Wetterdienst Explorer, your friendly web-based GUI for the Wetterdienst library for Python. This web UI can
+easily be self-hosted. A hosted version is available `here <https://wetterdienst.streamlit.app/>`_.
 
 Screenshot
 **********
@@ -31,10 +26,7 @@ Features
 Coverage
 ========
 
-Wetterdienst Explorer currently covers access to:
-
-- Weather observation data from all providers that are implemented. Historical, recent and near real time.
-
+Wetterdienst Explorer currently covers access to the entire Wetterdienst API. High resolution data may be slow to load.
 
 Usage
 *****
@@ -51,7 +43,7 @@ Install Wetterdienst and invoke the user interface::
     wetterdienst explorer
 
     # Navigate to web UI
-    open http://localhost:7891
+    open http://localhost:8501
 
 
 Invoke using Docker
@@ -59,25 +51,5 @@ Invoke using Docker
 
 Run the Wetterdienst user interface using Docker::
 
-    docker run -it --rm --publish=7891:7891 ghcr.io/earthobservations/wetterdienst wetterdienst explorer --listen 0.0.0.0:7891
-
-
-Serve Wetterdienst Explorer at non-root URL
-===========================================
-
-If you are wrapping up Wetterdienst behind a reverse HTTP proxy, use the
-``DASH_URL_BASE_PATHNAME`` environment variable to configure the HTTP base URL
-the service is mounted on::
-
-    export DASH_URL_BASE_PATHNAME=/explorer/
-    wetterdienst explorer --listen=localhost:8891
-
-The gist of a corresponding Nginx configuration snippet is::
+    docker run -it --rm --publish=7891:7891 ghcr.io/earthobservations/wetterdienst wetterdienst explorer --listen 0.0.0.0:8501
 
-    server {
-      server_name wetterdienst.example.org;
-      location ~ ^/explorer {
-        proxy_set_header   Host $host;
-        proxy_pass http://localhost:8891;
-      }
-    }
diff --git a/docs/usage/index.rst b/docs/usage/index.rst
index f959bed94..92f8eb5dd 100644
--- a/docs/usage/index.rst
+++ b/docs/usage/index.rst
@@ -10,5 +10,4 @@ Usage
     restapi
     explorer
     docker
-    streamlit
     settings
diff --git a/docs/usage/streamlit.rst b/docs/usage/streamlit.rst
deleted file mode 100644
index 7f7e573cc..000000000
--- a/docs/usage/streamlit.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-Streamlit
-#########
-
-We recently made a `Streamlit <https://streamlit.io/>`_ app that allows you to interactively explore the data we provide
-with the wetterdienst package. You can find it `here <https://wetterdienst.streamlit.app/>`_.
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 427867e20..ee65fbde5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -607,7 +607,7 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 name = "blinker"
 version = "1.7.0"
 description = "Fast, simple object-to-object and broadcast signaling"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
@@ -918,13 +918,13 @@ files = [
 
 [[package]]
 name = "comm"
-version = "0.2.1"
+version = "0.2.2"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
-    {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
+    {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"},
+    {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
 ]
 
 [package.dependencies]
@@ -998,63 +998,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.4.3"
+version = "7.4.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "coverage-7.4.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8580b827d4746d47294c0e0b92854c85a92c2227927433998f0d3320ae8a71b6"},
-    {file = "coverage-7.4.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:718187eeb9849fc6cc23e0d9b092bc2348821c5e1a901c9f8975df0bc785bfd4"},
-    {file = "coverage-7.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:767b35c3a246bcb55b8044fd3a43b8cd553dd1f9f2c1eeb87a302b1f8daa0524"},
-    {file = "coverage-7.4.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae7f19afe0cce50039e2c782bff379c7e347cba335429678450b8fe81c4ef96d"},
-    {file = "coverage-7.4.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba3a8aaed13770e970b3df46980cb068d1c24af1a1968b7818b69af8c4347efb"},
-    {file = "coverage-7.4.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ee866acc0861caebb4f2ab79f0b94dbfbdbfadc19f82e6e9c93930f74e11d7a0"},
-    {file = "coverage-7.4.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:506edb1dd49e13a2d4cac6a5173317b82a23c9d6e8df63efb4f0380de0fbccbc"},
-    {file = "coverage-7.4.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd6545d97c98a192c5ac995d21c894b581f1fd14cf389be90724d21808b657e2"},
-    {file = "coverage-7.4.3-cp310-cp310-win32.whl", hash = "sha256:f6a09b360d67e589236a44f0c39218a8efba2593b6abdccc300a8862cffc2f94"},
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 [package.dependencies]
@@ -1083,60 +1083,6 @@ doc = ["crate-docs-theme (>=0.26.5)", "sphinx (>=3.5,<8)"]
 sqlalchemy = ["backports.zoneinfo (<1)", "geojson (>=2.5.0,<4)", "sqlalchemy (>=1.0,<2.1)"]
 test = ["certifi", "createcoverage (>=1,<2)", "dask", "flake8 (>=4,<8)", "pandas (<2.2)", "pytz", "stopit (>=1.1.2,<2)", "tox (>=3,<5)", "zc.customdoctests (>=1.0.1,<2)", "zope.testing (>=4,<6)", "zope.testrunner (>=5,<7)"]
 
-[[package]]
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-python-versions = ">=3.7"
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-
-[package.dependencies]
-cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
-
-[package.extras]
-docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
-docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
-nox = ["nox"]
-pep8test = ["check-sdist", "click", "mypy", "ruff"]
-sdist = ["build"]
-ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
-test-randomorder = ["pytest-randomly"]
-
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1152,147 +1098,22 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
-[[package]]
-name = "dash"
-version = "2.15.0"
-description = "A Python framework for building reactive web-apps. Developed by Plotly."
-optional = false
-python-versions = ">=3.6"
-files = [
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-]
-
-[package.dependencies]
-beautifulsoup4 = {version = ">=4.8.2", optional = true, markers = "extra == \"testing\""}
-dash-core-components = "2.0.0"
-dash-html-components = "2.0.0"
-dash-table = "5.0.0"
-dash-testing-stub = {version = ">=0.0.2", optional = true, markers = "extra == \"testing\""}
-Flask = ">=1.0.4,<3.1"
-importlib-metadata = {version = "*", markers = "python_version >= \"3.7\""}
-lxml = {version = ">=4.6.2", optional = true, markers = "extra == \"testing\""}
-multiprocess = {version = ">=0.70.12", optional = true, markers = "extra == \"testing\""}
-nest-asyncio = "*"
-percy = {version = ">=2.0.2", optional = true, markers = "extra == \"testing\""}
-plotly = ">=5.0.0"
-psutil = {version = ">=5.8.0", optional = true, markers = "extra == \"testing\""}
-pytest = {version = ">=6.0.2", optional = true, markers = "extra == \"testing\""}
-requests = [
-    {version = "*"},
-    {version = ">=2.21.0", extras = ["security"], optional = true, markers = "extra == \"testing\""},
-]
-retrying = "*"
-selenium = {version = ">=3.141.0,<=4.2.0", optional = true, markers = "extra == \"testing\""}
-setuptools = "*"
-typing-extensions = ">=4.1.1"
-waitress = {version = ">=1.4.4", optional = true, markers = "extra == \"testing\""}
-Werkzeug = "<3.1"
-
-[package.extras]
-celery = ["celery[redis] (>=5.1.2)", "importlib-metadata (<5)", "redis (>=3.5.3)"]
-ci = ["black (==21.6b0)", "black (==22.3.0)", "dash-dangerously-set-inner-html", "dash-flow-example (==0.0.5)", "flake8 (==3.9.2)", "flaky (==3.7.0)", "flask-talisman (==1.0.0)", "isort (==4.3.21)", "jupyterlab (<4.0.0)", "mimesis (<=11.1.0)", "mock (==4.0.3)", "numpy (<=1.25.2)", "openpyxl", "orjson (==3.5.4)", "orjson (==3.6.7)", "pandas (==1.1.5)", "pandas (>=1.4.0)", "preconditions", "pyarrow", "pyarrow (<3)", "pylint (==2.13.5)", "pytest-mock", "pytest-rerunfailures", "pytest-sugar (==0.9.6)", "xlrd (<2)", "xlrd (>=2.0.1)"]
-compress = ["flask-compress"]
-dev = ["PyYAML (>=5.4.1)", "coloredlogs (>=15.0.1)", "fire (>=0.4.0)"]
-diskcache = ["diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "psutil (>=5.8.0)"]
-testing = ["beautifulsoup4 (>=4.8.2)", "cryptography (<3.4)", "dash-testing-stub (>=0.0.2)", "lxml (>=4.6.2)", "multiprocess (>=0.70.12)", "percy (>=2.0.2)", "psutil (>=5.8.0)", "pytest (>=6.0.2)", "requests[security] (>=2.21.0)", "selenium (>=3.141.0,<=4.2.0)", "waitress (>=1.4.4)"]
-
-[[package]]
-name = "dash-bootstrap-components"
-version = "1.5.0"
-description = "Bootstrap themed components for use in Plotly Dash"
-optional = true
-python-versions = ">=3.7, <4"
-files = [
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-
-[package.dependencies]
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-
-[package.extras]
-pandas = ["numpy", "pandas"]
-
-[[package]]
-name = "dash-core-components"
-version = "2.0.0"
-description = "Core component suite for Dash"
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-python-versions = "*"
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-
-[[package]]
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-description = "Dash Leaflet is a light wrapper around React-Leaflet. The syntax is similar to other Dash components, with naming conventions following the React-Leaflet API."
-optional = true
-python-versions = "*"
-files = [
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-[package.dependencies]
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-[package.extras]
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-geobuf = ["geobuf (==1.1.1)", "protobuf (==3.20.0)"]
-svg = ["dash-svg"]
-
-[[package]]
-name = "dash-table"
-version = "5.0.0"
-description = "Dash table"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[[package]]
-name = "dash-testing-stub"
-version = "0.0.2"
-description = "Package installed with dash[testing] for optional loading of pytest dash plugin."
-optional = false
-python-versions = "*"
-files = [
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-]
-
 [[package]]
 name = "dask"
-version = "2024.2.1"
+version = "2024.3.1"
 description = "Parallel PyData with Task Scheduling"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "dask-2024.2.1-py3-none-any.whl", hash = "sha256:a13fcdeead3bab3576495023f83097adcffe2f03c371c241b5a1f0b232b35b38"},
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+    {file = "dask-2024.3.1-py3-none-any.whl", hash = "sha256:1ac260b8716b1a9fc144c0d7f958336812cfc3ef542a3742c9ae02387189b32b"},
+    {file = "dask-2024.3.1.tar.gz", hash = "sha256:78bee2ffd735514e572adaa669fc2a437ec256aecb6bec036a1f5b8dd36b2e60"},
 ]
 
 [package.dependencies]
 click = ">=8.1"
 cloudpickle = ">=1.5.0"
 fsspec = ">=2021.09.0"
-importlib-metadata = ">=4.13.0"
+importlib-metadata = {version = ">=4.13.0", markers = "python_version < \"3.12\""}
 packaging = ">=20.0"
 partd = ">=1.2.0"
 pyyaml = ">=5.3.1"
@@ -1301,9 +1122,9 @@ toolz = ">=0.10.0"
 [package.extras]
 array = ["numpy (>=1.21)"]
 complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)", "pyarrow-hotfix"]
-dataframe = ["dask[array]", "pandas (>=1.3)"]
+dataframe = ["dask-expr (>=1.0,<1.1)", "dask[array]", "pandas (>=1.3)"]
 diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"]
-distributed = ["distributed (==2024.2.1)"]
+distributed = ["distributed (==2024.3.1)"]
 test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
 
 [[package]]
@@ -1407,21 +1228,6 @@ docs = ["Sphinx (>=3)", "sphinx-rtd-theme (>=0.2)"]
 numpy = ["numpy (>=1.13.0)", "numpy (>=1.15.0)", "numpy (>=1.18.0)", "numpy (>=1.20.0)"]
 tests = ["check-manifest (>=0.42)", "mock (>=1.3.0)", "pytest (==5.4.3)", "pytest (>=6)", "pytest-cov (>=2.10.1)", "pytest-isort (>=1.2.0)", "pytest-pycodestyle (>=2)", "pytest-pycodestyle (>=2.2.0)", "pytest-pydocstyle (>=2)", "pytest-pydocstyle (>=2.2.0)", "sphinx (>=3)", "tox (>=3.7.0)"]
 
-[[package]]
-name = "dill"
-version = "0.3.8"
-description = "serialize all of Python"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.extras]
-graph = ["objgraph (>=1.7.2)"]
-profile = ["gprof2dot (>=2022.7.29)"]
-
 [[package]]
 name = "dirty-equals"
 version = "0.7.1.post0"
@@ -1481,58 +1287,58 @@ files = [
 
 [[package]]
 name = "duckdb"
-version = "0.10.0"
+version = "0.10.1"
 description = "DuckDB in-process database"
 optional = true
 python-versions = ">=3.7.0"
 files = [
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@@ -2225,7 +1997,7 @@ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["jaraco.collections", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "influxdb"
@@ -2412,17 +2184,6 @@ files = [
 [package.dependencies]
 arrow = ">=0.15.0"
 
-[[package]]
-name = "itsdangerous"
-version = "2.1.2"
-description = "Safely pass data to untrusted environments and back."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
-    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
-]
-
 [[package]]
 name = "jedi"
 version = "0.19.1"
@@ -2472,18 +2233,15 @@ files = [
 
 [[package]]
 name = "json5"
-version = "0.9.22"
+version = "0.9.24"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "json5-0.9.22-py3-none-any.whl", hash = "sha256:6621007c70897652f8b5d03885f732771c48d1925591ad989aa80c7e0e5ad32f"},
-    {file = "json5-0.9.22.tar.gz", hash = "sha256:b729bde7650b2196a35903a597d2b704b8fdf8648bfb67368cfb79f1174a17bd"},
+    {file = "json5-0.9.24-py3-none-any.whl", hash = "sha256:4ca101fd5c7cb47960c055ef8f4d0e31e15a7c6c48c3b6f1473fc83b6c462a13"},
+    {file = "json5-0.9.24.tar.gz", hash = "sha256:0c638399421da959a20952782800e5c1a78c14e08e1dc9738fa10d8ec14d58c8"},
 ]
 
-[package.extras]
-dev = ["hypothesis"]
-
 [[package]]
 name = "jsonpointer"
 version = "2.4"
@@ -2492,7 +2250,6 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
 files = [
     {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
 ]
 
 [[package]]
@@ -2560,13 +2317,13 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.0"
+version = "8.6.1"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.6.0-py3-none-any.whl", hash = "sha256:909c474dbe62582ae62b758bca86d6518c85234bdee2d908c778db6d72f39d99"},
-    {file = "jupyter_client-8.6.0.tar.gz", hash = "sha256:0642244bb83b4764ae60d07e010e15f0e2d275ec4e918a8f7b80fbbef3ca60c7"},
+    {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"},
+    {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"},
 ]
 
 [package.dependencies]
@@ -2607,13 +2364,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.1"
+version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
-    {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
+    {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
+    {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
 ]
 
 [package.dependencies]
@@ -2623,17 +2380,17 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
+test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-events"
-version = "0.9.0"
+version = "0.10.0"
 description = "Jupyter Event System library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_events-0.9.0-py3-none-any.whl", hash = "sha256:d853b3c10273ff9bc8bb8b30076d65e2c9685579db736873de6c2232dde148bf"},
-    {file = "jupyter_events-0.9.0.tar.gz", hash = "sha256:81ad2e4bc710881ec274d31c6c50669d71bbaa5dd9d01e600b56faa85700d399"},
+    {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"},
+    {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"},
 ]
 
 [package.dependencies]
@@ -2720,13 +2477,13 @@ test = ["jupyter-server[test]", "pytest"]
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.5.2"
+version = "0.5.3"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.5.2-py3-none-any.whl", hash = "sha256:1b80c12765da979513c42c90215481bbc39bd8ae7c0350b4f85bc3eb58d0fa80"},
-    {file = "jupyter_server_terminals-0.5.2.tar.gz", hash = "sha256:396b5ccc0881e550bf0ee7012c6ef1b53edbde69e67cab1d56e89711b46052e8"},
+    {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"},
+    {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"},
 ]
 
 [package.dependencies]
@@ -2739,13 +2496,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.1.4"
+version = "4.1.5"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.1.4-py3-none-any.whl", hash = "sha256:f92c3f2b12b88efcf767205f49be9b2f86b85544f9c4f342bb5e9904a16cf931"},
-    {file = "jupyterlab-4.1.4.tar.gz", hash = "sha256:e03c82c124ad8a0892e498b9dde79c50868b2c267819aca3f55ce47c57ebeb1d"},
+    {file = "jupyterlab-4.1.5-py3-none-any.whl", hash = "sha256:3bc843382a25e1ab7bc31d9e39295a9f0463626692b7995597709c0ab236ab2c"},
+    {file = "jupyterlab-4.1.5.tar.gz", hash = "sha256:c9ad75290cb10bfaff3624bf3fbb852319b4cce4c456613f8ebbaa98d03524db"},
 ]
 
 [package.dependencies]
@@ -3378,6 +3135,7 @@ files = [
     {file = "msgpack-1.0.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5fbb160554e319f7b22ecf530a80a3ff496d38e8e07ae763b9e82fadfe96f273"},
     {file = "msgpack-1.0.8-cp39-cp39-win32.whl", hash = "sha256:f9af38a89b6a5c04b7d18c492c8ccf2aee7048aff1ce8437c4683bb5a1df893d"},
     {file = "msgpack-1.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:ed59dd52075f8fc91da6053b12e8c89e37aa043f8986efd89e61fae69dc1b011"},
+    {file = "msgpack-1.0.8-py3-none-any.whl", hash = "sha256:24f727df1e20b9876fa6e95f840a2a2651e34c0ad147676356f4bf5fbb0206ca"},
     {file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"},
 ]
 
@@ -3480,30 +3238,6 @@ files = [
     {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
 ]
 
-[[package]]
-name = "multiprocess"
-version = "0.70.16"
-description = "better multiprocessing and multithreading in Python"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
-    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
-    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37b55f71c07e2d741374998c043b9520b626a8dddc8b3129222ca4f1a06ef67a"},
-    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba8c31889abf4511c7308a8c52bb4a30b9d590e7f58523302ba00237702ca054"},
-    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0dfd078c306e08d46d7a8d06fb120313d87aa43af60d66da43ffff40b44d2f41"},
-    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e7b9d0f307cd9bd50851afaac0dba2cb6c44449efff697df7c7645f7d3f2be3a"},
-    {file = "multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02"},
-    {file = "multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a"},
-    {file = "multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e"},
-    {file = "multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435"},
-    {file = "multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3"},
-    {file = "multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1"},
-]
-
-[package.dependencies]
-dill = ">=0.3.8"
-
 [[package]]
 name = "mysqlclient"
 version = "2.2.4"
@@ -3560,13 +3294,13 @@ test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "i
 
 [[package]]
 name = "nbconvert"
-version = "7.16.2"
+version = "7.16.3"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nbconvert-7.16.2-py3-none-any.whl", hash = "sha256:0c01c23981a8de0220255706822c40b751438e32467d6a686e26be08ba784382"},
-    {file = "nbconvert-7.16.2.tar.gz", hash = "sha256:8310edd41e1c43947e4ecf16614c61469ebc024898eb808cce0999860fc9fb16"},
+    {file = "nbconvert-7.16.3-py3-none-any.whl", hash = "sha256:ddeff14beeeedf3dd0bc506623e41e4507e551736de59df69a91f86700292b3b"},
+    {file = "nbconvert-7.16.3.tar.gz", hash = "sha256:a6733b78ce3d47c3f85e504998495b07e6ea9cf9bf6ec1c98dda63ec6ad19142"},
 ]
 
 [package.dependencies]
@@ -3593,7 +3327,7 @@ docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sp
 qtpdf = ["nbconvert[qtpng]"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"]
 webpdf = ["playwright"]
 
 [[package]]
@@ -3624,13 +3358,13 @@ test = ["jsonschema", "jupyter-server[test]", "mock", "notebook", "pytest (>=6.0
 
 [[package]]
 name = "nbformat"
-version = "5.9.2"
+version = "5.10.3"
 description = "The Jupyter Notebook format"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nbformat-5.9.2-py3-none-any.whl", hash = "sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9"},
-    {file = "nbformat-5.9.2.tar.gz", hash = "sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192"},
+    {file = "nbformat-5.10.3-py3-none-any.whl", hash = "sha256:d9476ca28676799af85385f409b49d95e199951477a159a576ef2a675151e5e8"},
+    {file = "nbformat-5.10.3.tar.gz", hash = "sha256:60ed5e910ef7c6264b87d644f276b1b49e24011930deef54605188ddeb211685"},
 ]
 
 [package.dependencies]
@@ -3700,13 +3434,13 @@ tests = ["Cython", "packaging", "pytest"]
 
 [[package]]
 name = "notebook"
-version = "7.1.1"
+version = "7.1.2"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "notebook-7.1.1-py3-none-any.whl", hash = "sha256:197d8e0595acabf4005851c8716e952a81b405f7aefb648067a761fbde267ce7"},
-    {file = "notebook-7.1.1.tar.gz", hash = "sha256:818e7420fa21f402e726afb9f02df7f3c10f294c02e383ed19852866c316108b"},
+    {file = "notebook-7.1.2-py3-none-any.whl", hash = "sha256:fc6c24b9aef18d0cd57157c9c47e95833b9b0bdc599652639acf0bdb61dc7d5f"},
+    {file = "notebook-7.1.2.tar.gz", hash = "sha256:efc2c80043909e0faa17fce9e9b37c059c03af0ec99a4d4db84cb21d9d2e936a"},
 ]
 
 [package.dependencies]
@@ -3820,23 +3554,8 @@ files = [
     {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
     {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
     {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
-    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
-]
-
-[[package]]
-name = "outcome"
-version = "1.3.0.post0"
-description = "Capture the outcome of Python function calls."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b"},
-    {file = "outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8"},
 ]
 
-[package.dependencies]
-attrs = ">=19.2.0"
-
 [[package]]
 name = "overrides"
 version = "7.7.0"
@@ -3987,6 +3706,24 @@ files = [
     {file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
 ]
 
+[[package]]
+name = "patsy"
+version = "0.5.6"
+description = "A Python package for describing statistical models and for building design matrices."
+optional = true
+python-versions = "*"
+files = [
+    {file = "patsy-0.5.6-py2.py3-none-any.whl", hash = "sha256:19056886fd8fa71863fa32f0eb090267f21fb74be00f19f5c70b2e9d76c883c6"},
+    {file = "patsy-0.5.6.tar.gz", hash = "sha256:95c6d47a7222535f84bff7f63d7303f2e297747a598db89cf5c67f0c0c7d2cdb"},
+]
+
+[package.dependencies]
+numpy = ">=1.4"
+six = "*"
+
+[package.extras]
+test = ["pytest", "pytest-cov", "scipy"]
+
 [[package]]
 name = "pdbufr"
 version = "0.11.0"
@@ -4005,20 +3742,6 @@ pandas = "*"
 [package.extras]
 tests = ["flake8", "pytest", "pytest-cov", "requests"]
 
-[[package]]
-name = "percy"
-version = "2.0.2"
-description = "Python client library for visual regression testing with Percy (https://percy.io)."
-optional = false
-python-versions = "*"
-files = [
-    {file = "percy-2.0.2-py2.py3-none-any.whl", hash = "sha256:c1647b768810e9453220a7721a5d52cec560dee913d13c1e29b713703f4f223e"},
-    {file = "percy-2.0.2.tar.gz", hash = "sha256:6238612dc401fa5c221c0ad7738f7ea43e48fe2695f6423e785ee2bc940f021d"},
-]
-
-[package.dependencies]
-requests = ">=2.14.0"
-
 [[package]]
 name = "pexpect"
 version = "4.9.0"
@@ -4161,13 +3884,13 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-
 
 [[package]]
 name = "plotly"
-version = "5.19.0"
+version = "5.20.0"
 description = "An open-source, interactive data visualization library for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "plotly-5.19.0-py3-none-any.whl", hash = "sha256:906abcc5f15945765328c5d47edaa884bc99f5985fbc61e8cd4dc361f4ff8f5a"},
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 ]
 
 [package.dependencies]
@@ -4519,13 +4239,13 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.6.3"
+version = "2.6.4"
 description = "Data validation using Python type hints"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4661,24 +4381,6 @@ files = [
 plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
-[[package]]
-name = "pyopenssl"
-version = "24.1.0"
-description = "Python wrapper module around the OpenSSL library"
-optional = false
-python-versions = ">=3.7"
-files = [
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-[package.dependencies]
-cryptography = ">=41.0.5,<43"
-
-[package.extras]
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-test = ["pretend", "pytest (>=3.0.1)", "pytest-rerunfailures"]
-
 [[package]]
 name = "pyparsing"
 version = "3.1.2"
@@ -4773,18 +4475,6 @@ tomlkit = ">=0.12.3"
 docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-argparse-cli (>=1.11.1)", "sphinx-autodoc-typehints (>=1.25.2)", "sphinx-copybutton (>=0.5.2)"]
 test = ["covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
-[[package]]
-name = "pysocks"
-version = "1.7.1"
-description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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-
 [[package]]
 name = "pytest"
 version = "8.1.1"
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@@ -5007,16 +4696,8 @@ files = [
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@@ -5033,7 +4714,6 @@ files = [
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@@ -5041,7 +4721,6 @@ files = [
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     {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -5312,13 +4991,13 @@ typing-extensions = ">=4.1.1,<5.0.0"
 
 [[package]]
 name = "referencing"
-version = "0.33.0"
+version = "0.34.0"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "referencing-0.33.0-py3-none-any.whl", hash = "sha256:39240f2ecc770258f28b642dd47fd74bc8b02484de54e1882b74b35ebd779bd5"},
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+    {file = "referencing-0.34.0-py3-none-any.whl", hash = "sha256:d53ae300ceddd3169f1ffa9caf2cb7b769e92657e4fafb23d34b93679116dfd4"},
+    {file = "referencing-0.34.0.tar.gz", hash = "sha256:5773bd84ef41799a5a8ca72dc34590c041eb01bf9aa02632b4a973fb0181a844"},
 ]
 
 [package.dependencies]
@@ -5346,20 +5025,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "retrying"
-version = "1.3.4"
-description = "Retrying"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-six = ">=1.7.0"
-
 [[package]]
 name = "rfc3339-validator"
 version = "0.1.4"
@@ -5621,21 +5286,6 @@ dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyl
 doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
 test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
-[[package]]
-name = "selenium"
-version = "4.2.0"
-description = ""
-optional = false
-python-versions = "~=3.7"
-files = [
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-]
-
-[package.dependencies]
-trio = ">=0.17,<1.0"
-trio-websocket = ">=0.9,<1.0"
-urllib3 = {version = ">=1.26,<2.0", extras = ["secure", "socks"]}
-
 [[package]]
 name = "send2trash"
 version = "1.8.2"
@@ -5654,18 +5304,18 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "69.1.1"
+version = "69.2.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
@@ -6017,60 +5667,60 @@ cairosvg = ["cairosvg (>=1.0)"]
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.28"
+version = "2.0.29"
 description = "Database Abstraction Library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "SQLAlchemy-2.0.28-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0b148ab0438f72ad21cb004ce3bdaafd28465c4276af66df3b9ecd2037bf252"},
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 ]
 
 [package.dependencies]
@@ -6160,15 +5810,68 @@ typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
 
+[[package]]
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+version = "0.14.1"
+description = "Statistical computations and models for Python"
+optional = true
+python-versions = ">=3.8"
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+    {version = ">=1.18,<2", markers = "python_version != \"3.10\" or platform_system != \"Windows\" or platform_python_implementation == \"PyPy\""},
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+patsy = ">=0.5.4"
+scipy = ">=1.4,<1.9.2 || >1.9.2"
+
+[package.extras]
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+docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
+
 [[package]]
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-version = "1.32.0"
+version = "1.32.2"
 description = "A faster way to build and share data apps"
 optional = true
 python-versions = ">=3.8, !=3.9.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -6249,13 +5952,13 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "terminado"
-version = "0.18.0"
+version = "0.18.1"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -6270,13 +5973,13 @@ typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.3.0"
+version = "3.4.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -6383,64 +6086,28 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
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+version = "5.14.2"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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-
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-[package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
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 [[package]]
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 description = "Typing stubs for python-dateutil"
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 python-versions = ">=3.8"
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 [[package]]
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 name = "utm"
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 tests = ["pytest", "pytest-cov"]
 
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-python-versions = ">=3.7"
-files = [
-    {file = "webdriver_manager-4.0.1-py2.py3-none-any.whl", hash = "sha256:d7970052295bb9cda2c1a24cf0b872dd2c41ababcc78f7b6b8dc37a41e979a7e"},
-    {file = "webdriver_manager-4.0.1.tar.gz", hash = "sha256:25ec177c6a2ce9c02fb8046f1b2732701a9418d6a977967bb065d840a3175d87"},
-]
-
-[package.dependencies]
-packaging = "*"
-python-dotenv = "*"
-requests = "*"
-
 [[package]]
 name = "webencodings"
 version = "0.5.1"
@@ -6800,23 +6401,6 @@ docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
-[[package]]
-name = "werkzeug"
-version = "3.0.1"
-description = "The comprehensive WSGI web application library."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
-    {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.1.1"
-
-[package.extras]
-watchdog = ["watchdog (>=2.3)"]
-
 [[package]]
 name = "widgetsnbextension"
 version = "4.0.10"
@@ -6931,20 +6515,6 @@ files = [
     {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
 ]
 
-[[package]]
-name = "wsproto"
-version = "1.2.0"
-description = "WebSockets state-machine based protocol implementation"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
-    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
-]
-
-[package.dependencies]
-h11 = ">=0.9.0,<1"
-
 [[package]]
 name = "xarray"
 version = "2024.2.0"
@@ -7170,18 +6740,18 @@ jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.18.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
 bufr = ["pdbufr"]
@@ -7189,7 +6759,7 @@ cratedb = ["crate", "pandas"]
 duckdb = ["duckdb", "pandas"]
 eccodes = ["eccodes"]
 excel = ["xlsxwriter"]
-explorer = ["dash", "dash-bootstrap-components", "dash-leaflet", "geojson", "plotly"]
+explorer = ["duckdb", "plotly", "statsmodels", "streamlit"]
 export = ["pandas", "sqlalchemy", "xarray", "xlsxwriter", "zarr"]
 import = ["xlsx2csv"]
 influxdb = ["influxdb", "influxdb-client", "influxdb3-python"]
@@ -7202,9 +6772,8 @@ radar = ["h5py"]
 radarplus = ["wradlib", "xradar"]
 restapi = ["fastapi", "httpx", "uvicorn"]
 sql = ["duckdb"]
-streamlit = ["streamlit"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "56551f736a956ee6de5c71f667a831b4f140a65657ba79ec8a6003c5763bca9f"
+content-hash = "0a4d2eb7054412323f5446cfd24ed116e33a1ef563160fcb81c74c5bced31e46"
diff --git a/pyproject.toml b/pyproject.toml
index f94d35f5e..1ffc32116 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -127,13 +127,9 @@ tqdm = ">=4,<5"
 tzfpy = ">=0.15.2,<1"
 
 crate                           = { version = ">=0.30.1,<1", optional = true }  # Export feature.
-dash                            = { version = ">=2.10,<2.16", optional = true }  # Explorer UI feature.
-dash-bootstrap-components       = { version = ">=1.4,<2", optional = true }  # Explorer UI feature.
-dash-leaflet                    = { version = ">=1.0.8,<2", optional = true }  # Explorer UI feature.
-duckdb                          = { version = ">=0.9", optional = true }  # Export feature.
+duckdb                          = { version = ">=0.9", optional = true }  # Export feature, Explorer UI feature.
 eccodes                         = { version = ">=1.5.2,<1.7", optional = true }
 fastapi                         = { version = ">=0.95.1,<0.111", optional = true }  # HTTP REST API feature.
-geojson                         = { version = ">=3,<4", optional = true }  # Explorer UI feature.
 httpx                           = { version = ">=0.24,<0.28", optional = true}
 h5py                            = { version = ">=3.1,<4", optional = true }  # Radar feature.
 influxdb                        = { version = ">=5.3,<6", optional = true }  # Export feature.
@@ -148,7 +144,8 @@ psycopg2-binary                 = { version = ">=2.8,<3", optional = true }  # E
 scipy                           = { version = ">=1.9,<1.13", optional = true }  # Interpolation feature.
 shapely                         = { version = ">=2,<3", optional = true }  # Interpolation feature.
 sqlalchemy                      = { version = ">=2,<2.1", optional = true }  # Export feature.
-streamlit                       = { version = ">=1.27,<2", optional = true, markers = "python_version != '3.9.7'" }  # Streamlit app
+statsmodels                     = { version = ">=0.14.1", optional = true }  # Explorer UI feature.
+streamlit                       = { version = ">=1.27,<2", optional = true, markers = "python_version != '3.9.7'" }  # Explorer UI feature.
 utm                             = { version = ">=0.7,<1", optional = true }  # Interpolation feature.
 uvicorn                         = { version = ">=0.14,<1", optional = true }  # HTTP REST API feature.
 wradlib                         = { version = ">=2.0.1,<3", optional = true }  # Radar feature.
@@ -173,7 +170,6 @@ optional = true
 
 [tool.poetry.group.test.dependencies]
 coverage = { version = ">=7.3,<8", extras = ["toml"] }
-dash = { version = ">=2.10,<2.16", extras = ["testing"] }
 dirty-equals = ">=0.5.0,<1"
 freezegun = ">=1.2,<2"
 h5py = { version = ">=3.1,<3.11", optional = true}
@@ -188,9 +184,7 @@ pytest-dictsdiff = ">=0.5,<0.6"
 pytest-notebook = ">=0.10"
 pytest-rerunfailures = "<14"
 pytest-xdist = ">=3,<4"
-selenium = ">=4,<5"
 surrogate = "==0.1"
-webdriver-manager = ">=4,<5"
 
 [tool.poetry.group.docs]
 optional = true
@@ -213,7 +207,7 @@ cratedb             = ["pandas", "crate"]
 duckdb              = ["pandas", "duckdb"]
 eccodes             = ["eccodes"]
 excel               = ["xlsxwriter"]
-explorer            = ["dash", "dash-bootstrap-components", "dash-leaflet", "geojson", "plotly"]
+explorer            = ["duckdb", "statsmodels", "streamlit", "plotly"]
 export              = ["pandas", "sqlalchemy", "xarray", "xlsxwriter", "zarr"]
 import              = ["xlsx2csv"]
 influxdb            = ["influxdb", "influxdb-client", "influxdb3-python"]
@@ -226,7 +220,6 @@ radar               = ["h5py"]
 radarplus           = ["pybufrkit", "wradlib", "xradar"]
 restapi             = ["fastapi", "httpx", "uvicorn"]
 sql                 = ["duckdb"]
-streamlit           = ["streamlit"]
 
 [tool.poetry.scripts]
 wetterdienst = 'wetterdienst.ui.cli:cli'
@@ -290,7 +283,7 @@ unfixable = ["ERA", "F401", "F841", "T20", "ERA001"]
 "wetterdienst/ui/restapi.py" = ["B008", "UP007"]
 
 [tool.pytest.ini_options]
-addopts = "-rsfEX -p pytester --strict-markers --verbosity=3 --webdriver=Firefox --headless"
+addopts = "-rsfEX -p pytester --strict-markers --verbosity=3"
 #log_cli = true
 #log_cli_level = "DEBUG"
 log_date_format = "%Y-%m-%dT%H:%M:%S"
@@ -350,7 +343,6 @@ coverage = "pytest --cov=wetterdienst"
 coverage-parallel = "pytest --cov=wetterdienst --numprocesses=auto -m 'not (explorer or cflake)'"
 update = "poetry update"
 citation = "python -m tools.citation"
-streamlit = "streamlit run ./wetterdienst/ui/streamlit/app.py"
 
 [build-system]
 build-backend = "poetry.core.masonry.api"
diff --git a/tests/ui/explorer/__init__.py b/tests/ui/explorer/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/tests/ui/explorer/conftest.py b/tests/ui/explorer/conftest.py
deleted file mode 100644
index be6503a1c..000000000
--- a/tests/ui/explorer/conftest.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# Copyright (C) 2018-2022, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-import pytest
-from dash.testing.application_runners import import_app
-from dash.testing.composite import DashComposite
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support import expected_conditions as EC
-
-
-@pytest.fixture
-def dash_tre(request, dash_thread_server, tmpdir):
-    with DashCompositePlus(
-        dash_thread_server,
-        browser=request.config.getoption("webdriver"),
-        remote=request.config.getoption("remote"),
-        remote_url=request.config.getoption("remote_url"),
-        headless=request.config.getoption("headless"),
-        options=request.config.hook.pytest_setup_options(),
-        download_path=tmpdir.mkdir("download").strpath,
-        percy_assets_root=request.config.getoption("percy_assets"),
-        percy_finalize=request.config.getoption("nopercyfinalize"),
-        pause=request.config.getoption("pause"),
-        wait_timeout=30,
-    ) as dc:
-        yield dc
-
-
-class DashCompositePlus(DashComposite):
-    """
-    Improve vanilla library with some convenience event handlers.
-    """
-
-    def wait_for_element_by_id_clickable(self, element_id, timeout=None):
-        """
-        Explicit wait until the element is clickable.
-
-        Derived from `dash.testing.browser::wait_for_element_by_id()` and
-        https://stackoverflow.com/q/56085152.
-        """
-        return self._wait_for(
-            EC.element_to_be_clickable,
-            ((By.ID, element_id),),
-            timeout,
-            f"timeout {timeout if timeout else self._wait_timeout}s => waiting for element id {element_id}",
-        )
-
-
-@pytest.fixture(scope="function")
-def wetterdienst_ui(dash_tre):
-    # Import Dash application in testing mode.
-    app = import_app("wetterdienst.ui.explorer.app")
-    # Start testing server and wait until page is loaded.
-    dash_tre.start_server(app)
-    dash_tre.wait_for_page(timeout=10)
diff --git a/tests/ui/explorer/test_explorer.py b/tests/ui/explorer/test_explorer.py
deleted file mode 100644
index b18ecfdf4..000000000
--- a/tests/ui/explorer/test_explorer.py
+++ /dev/null
@@ -1,286 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-"""
-Setup::
-
-    brew install geckodriver
-
-Run tests::
-
-    pytest -vvvv --webdriver Firefox -k test_ui --capture=no
-
-Documentation:
-
-- https://dash.plotly.com/testing#browser-apis
-- https://dash.plotly.com/testing#dash-apis
-
-"""
-
-import json
-import platform
-import time
-from typing import TYPE_CHECKING
-
-import pytest
-
-from tests.conftest import IS_CI
-
-if TYPE_CHECKING:
-    from bs4 import BeautifulSoup
-
-
-@pytest.mark.skipif(platform.system() == "Darwin" and platform.machine() == "arm64", reason="problem with geckodriver")
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_app_layout(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-):
-    # Sanity check if we are on the right page.
-    assert dash_tre.find_element("h1").text == "Wetterdienst Explorer"
-    # Roughly verify the application elements.
-    assert dash_tre.find_element("#navigation")
-    assert dash_tre.find_element("#map")
-    assert dash_tre.find_element("#graph")
-
-
-@pytest.mark.xfail
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_app_data_stations_success(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-):
-    """
-    Verify if data for "stations_result" has been correctly propagated.
-    """
-    # Select provider.
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="DWD")
-    time.sleep(0.5)
-    # Select network.
-    dash_tre.wait_for_element_by_id("select-network")
-    dash_tre.select_dcc_dropdown("#select-network", value="OBSERVATION")
-    time.sleep(0.5)
-    # Select resolution.
-    dash_tre.wait_for_element_by_id("select-resolution")
-    dash_tre.select_dcc_dropdown("#select-resolution", value="DAILY")
-    time.sleep(0.5)
-    # Select dataset.
-    dash_tre.wait_for_element_by_id("select-dataset")
-    dash_tre.select_dcc_dropdown("#select-dataset", value="CLIMATE_SUMMARY")
-    time.sleep(0.5)
-    # Select parameter.
-    dash_tre.wait_for_element_by_id("select-parameter")
-    dash_tre.select_dcc_dropdown("#select-parameter", value="PRECIPITATION_HEIGHT")
-    time.sleep(0.5)
-    # Select period.
-    dash_tre.wait_for_element_by_id("select-period")
-    dash_tre.select_dcc_dropdown("#select-period", value="ALL")
-    time.sleep(0.5)
-    # Wait for data element.
-    dash_tre.wait_for_element_by_id("dataframe-stations_result", timeout=5)
-    time.sleep(1)
-    # Read payload from data element.
-    dom: BeautifulSoup = dash_tre.dash_innerhtml_dom
-    data_element = dom.find(attrs={"id": "dataframe-stations_result"})
-    data = json.loads(data_element.text)
-    # Verify data.
-    assert data["columns"] == [
-        "station_id",
-        "start_date",
-        "end_date",
-        "latitude",
-        "longitude",
-        "height",
-        "name",
-        "state",
-    ]
-    assert len(data["data"]) >= 511
-
-
-@pytest.mark.xfail
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_app_data_stations_failed(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-):
-    """
-    Verify if data for "stations_result" has been correctly propagated.
-    """
-    # Select provider.
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="DWD")
-    time.sleep(0.5)
-    # Select network.
-    dash_tre.wait_for_element_by_id("select-network")
-    dash_tre.select_dcc_dropdown("#select-network", value="OBSERVATION")
-    time.sleep(0.5)
-    # Select resolution.
-    dash_tre.wait_for_element_by_id("select-resolution")
-    dash_tre.select_dcc_dropdown("#select-resolution", value="DAILY")
-    time.sleep(0.5)
-    # Select dataset.
-    dash_tre.wait_for_element_by_id("select-dataset")
-    dash_tre.select_dcc_dropdown("#select-dataset", value="CLIMATE_SUMMARY")
-    time.sleep(0.5)
-    # Select parameter.
-    dash_tre.wait_for_element_by_id("select-parameter")
-    dash_tre.select_dcc_dropdown("#select-parameter", value="PRECIPITATION_HEIGHT")
-    time.sleep(0.5)
-    # Select period.
-    dash_tre.wait_for_element_by_id("select-period")
-    dash_tre.select_dcc_dropdown("#select-period", value="NOW")
-    time.sleep(0.5)
-    # Wait for data element.
-    dash_tre.wait_for_element_by_id("dataframe-stations_result", timeout=5)
-    # Wait for status element.
-    dash_tre.wait_for_contains_text("#status-response-stations_result", "No data", timeout=2)
-    dash_tre.wait_for_contains_text("#status-response-values", "No data", timeout=2)
-
-
-@pytest.mark.xfail
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_options_reset(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-):
-    """
-    Verify if data for "stations_result" has been correctly propagated.
-    """
-    # Select provider.
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="DWD")
-    time.sleep(0.5)
-    # Select network.
-    dash_tre.wait_for_element_by_id("select-network")
-    dash_tre.select_dcc_dropdown("#select-network", value="OBSERVATION")
-    time.sleep(0.5)
-    # Select resolution.
-    dash_tre.wait_for_element_by_id("select-resolution")
-    dash_tre.select_dcc_dropdown("#select-resolution", value="DAILY")
-    time.sleep(0.5)
-    # Select dataset.
-    dash_tre.wait_for_element_by_id("select-dataset")
-    dash_tre.select_dcc_dropdown("#select-dataset", value="CLIMATE_SUMMARY")
-    time.sleep(0.5)
-    # Select parameter.
-    dash_tre.wait_for_element_by_id("select-parameter")
-    dash_tre.select_dcc_dropdown("#select-parameter", value="PRECIPITATION_HEIGHT")
-    time.sleep(0.5)
-    # Select period.
-    dash_tre.wait_for_element_by_id("select-period")
-    dash_tre.select_dcc_dropdown("#select-period", value="HISTORICAL")
-    time.sleep(0.5)
-    # Set another provider
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="ECCC")
-    time.sleep(0.5)
-    # Check other options for reset
-    dash_tre.wait_for_contains_text("#select-network", "")
-    dash_tre.wait_for_contains_text("#select-resolution", "")
-    dash_tre.wait_for_contains_text("#select-dataset", "")
-    dash_tre.wait_for_contains_text("#select-parameter", "")
-    dash_tre.wait_for_contains_text("#select-period", "")
-
-
-@pytest.mark.skipif(IS_CI, reason="times out")
-@pytest.mark.xfail
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_app_data_values(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-):
-    """
-    Verify if data for "values" has been correctly propagated.
-    """
-    # Select provider.
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="DWD")
-    time.sleep(0.5)
-    # Select network.
-    dash_tre.wait_for_element_by_id("select-network")
-    dash_tre.select_dcc_dropdown("#select-network", value="OBSERVATION")
-    time.sleep(0.5)
-    # Select resolution.
-    dash_tre.wait_for_element_by_id("select-resolution")
-    dash_tre.select_dcc_dropdown("#select-resolution", value="HOURLY")
-    time.sleep(0.5)
-    # Select dataset.
-    dash_tre.wait_for_element_by_id("select-dataset")
-    dash_tre.select_dcc_dropdown("#select-dataset", value="TEMPERATURE_AIR")
-    time.sleep(0.5)
-    # Select parameter.
-    dash_tre.wait_for_element_by_id("select-parameter")
-    dash_tre.select_dcc_dropdown("#select-parameter", value="TEMPERATURE_AIR_MEAN_200")
-    time.sleep(0.5)
-    # Select period.
-    dash_tre.wait_for_element_by_id("select-period")
-    dash_tre.select_dcc_dropdown("#select-period", value="RECENT")
-    time.sleep(0.5)
-    # Select weather station.
-    dash_tre.wait_for_element_by_id("select-station")
-    dash_tre.select_dcc_dropdown("#select-station", value="Anklam")
-    time.sleep(0.5)
-    # Wait for data element.
-    dash_tre.wait_for_element_by_id("dataframe-values")
-    time.sleep(0.5)
-    # Wait for status element.
-    dash_tre.wait_for_contains_text("#status-response", "Records")
-    dash_tre.wait_for_contains_text("#status-response", "Begin date")
-    time.sleep(0.5)
-    # Read payload from data element.
-    dom: BeautifulSoup = dash_tre.dash_innerhtml_dom
-    data_element = dom.find(attrs={"id": "dataframe-values"})
-    data = json.loads(data_element.text)
-    # Verify data.
-    assert data["values"]["columns"] == ["station_id", "dataset", "parameter", "date", "value", "quality"]
-    assert len(data["values"]["data"]) > 13000
-
-
-@pytest.mark.xfail
-@pytest.mark.slow
-@pytest.mark.cflake
-@pytest.mark.explorer
-def test_dwd_mosmix_options(
-    wetterdienst_ui,  # noqa: ARG001
-    dash_tre,
-    is_ci,
-):
-    """
-    Verify if data for "values" has been correctly propagated.
-    """
-    if is_ci:
-        pytest.skip(reason="times out")
-    # Select provider.
-    dash_tre.wait_for_element_by_id("select-provider")
-    dash_tre.select_dcc_dropdown("#select-provider", value="DWD")
-    time.sleep(0.5)
-    # Select network.
-    dash_tre.wait_for_element_by_id("select-network")
-    dash_tre.select_dcc_dropdown("#select-network", value="MOSMIX")
-    time.sleep(0.5)
-    # Select resolution.
-    dash_tre.wait_for_element_by_id("select-resolution")
-    dash_tre.select_dcc_dropdown("#select-resolution", value="SMALL")
-    time.sleep(0.5)
-    # Select dataset.
-    dash_tre.wait_for_element_by_id("select-dataset")
-    dash_tre.select_dcc_dropdown("#select-dataset", value="SMALL")
-    time.sleep(0.5)
-    # Select parameter.
-    dash_tre.wait_for_element_by_id("select-parameter")
-    dash_tre.select_dcc_dropdown("#select-parameter", value="TEMPERATURE_AIR_MEAN_200")
-    time.sleep(0.5)
-    # Select period.
-    dash_tre.wait_for_element_by_id("select-period")
-    dash_tre.select_dcc_dropdown("#select-period", value="FUTURE")
-    time.sleep(0.5)
diff --git a/wetterdienst/core/timeseries/request.py b/wetterdienst/core/timeseries/request.py
index 5aa235a0d..ea4d9a117 100644
--- a/wetterdienst/core/timeseries/request.py
+++ b/wetterdienst/core/timeseries/request.py
@@ -541,11 +541,16 @@ def discover(cls, resolution=None, dataset=None, flatten: bool = True, with_unit
 
             return parameters
 
-        datasets_filter = (
-            [parse_enumeration_from_template(ds, intermediate=cls._dataset_base) for ds in to_list(dataset)]
-            if dataset
-            else cls._dataset_base
-        )
+        has_datasets = cls._has_datasets
+
+        if dataset:
+            datasets_filter = [
+                parse_enumeration_from_template(ds, intermediate=cls._dataset_base) for ds in to_list(dataset)
+            ]
+        elif has_datasets:
+            datasets_filter = cls._dataset_base
+        else:
+            datasets_filter = cls._resolution_base
 
         datasets_filter = [ds.name for ds in datasets_filter]
 
diff --git a/wetterdienst/ui/cli.py b/wetterdienst/ui/cli.py
index f7f4cf81e..d645a8885 100644
--- a/wetterdienst/ui/cli.py
+++ b/wetterdienst/ui/cli.py
@@ -5,6 +5,7 @@
 import functools
 import json
 import logging
+import subprocess
 import sys
 from collections import OrderedDict
 from pprint import pformat
@@ -594,18 +595,30 @@ def restapi(listen: str, reload: bool, debug: bool):
 
 
 @cli.command("explorer", section=advanced_section)
-@cloup.option("--listen", type=click.STRING, default=None, help="HTTP server listen address")
-@cloup.option("--reload", is_flag=True, help="Dynamically reload changed files")
 @debug_opt
-def explorer(listen: str, reload: bool, debug: bool):
+def explorer(debug: bool):
     set_logging_level(debug)
 
+    try:
+        from wetterdienst.ui import explorer  # noqa: F401
+    except ImportError:
+        log.error("Please install the explorer extras with 'pip install wetterdienst[explorer]'")
+        sys.exit(1)
+
     log.info(f"Starting {appname}")
-    log.info(f"Starting Explorer web service on http://{listen}")
-    from wetterdienst.ui.explorer.app import start_service
+    log.info("Starting Explorer web service on http://localhost:8501")
 
-    start_service(listen, reload=reload)
-    return
+    process = None
+    try:
+        process = subprocess.Popen(["streamlit", "run", "wetterdienst/ui/explorer.py"])  # noqa: S603, S607
+        process.wait()
+    except KeyboardInterrupt:
+        log.info("Stopping Explorer web service")
+    except Exception as e:
+        log.error(f"An error occurred: {str(e)}")
+    finally:
+        if process is not None:
+            process.terminate()
 
 
 @cli.group(section=data_section)
diff --git a/wetterdienst/ui/explorer.py b/wetterdienst/ui/explorer.py
new file mode 100644
index 000000000..c3fe9999e
--- /dev/null
+++ b/wetterdienst/ui/explorer.py
@@ -0,0 +1,281 @@
+# Copyright (C) 2018-2023, earthobservations developers.
+# Distributed under the MIT License. See LICENSE for more info.
+from __future__ import annotations
+
+import json
+
+import duckdb
+import plotly.express as px
+import polars as pl
+import streamlit as st
+
+from wetterdienst import Settings, Wetterdienst, __version__
+from wetterdienst.api import RequestRegistry
+from wetterdienst.metadata.period import PeriodType
+
+SQL_DEFAULT = """
+SELECT *
+FROM df
+WHERE value IS NOT NULL
+""".strip()
+
+
+@st.cache_data
+def get_stations(provider: str, network: str, request_kwargs: dict):
+    request_kwargs = request_kwargs.copy()
+    request_kwargs["settings"] = Settings(**request_kwargs["settings"])
+    return Wetterdienst(provider, network)(**request_kwargs).all()
+
+
+@st.cache_data
+def get_station(provider: str, network: str, request_kwargs: dict, station_id: str):
+    request_kwargs = request_kwargs.copy()
+    request_kwargs["settings"] = Settings(**request_kwargs["settings"])
+    return Wetterdienst(provider, network)(**request_kwargs).filter_by_station_id(station_id)
+
+
+@st.cache_data
+def get_values(provider: str, network: str, request_kwargs: dict, station_id: str):
+    request_kwargs = request_kwargs.copy()
+    settings = Settings(**request_kwargs["settings"])
+    request_kwargs["settings"] = settings
+    request_station = get_station(provider, network, request_kwargs, station_id)
+    units = request_station.discover("daily", "climate_summary")["daily"]
+    units = {parameter: (unit["si"] if settings.ts_si_units else unit["origin"]) for parameter, unit in units.items()}
+    values = request_station.values.all().df
+    return values.with_columns(pl.col("parameter").replace(units).alias("unit"))
+
+
+def create_plotly_fig(
+    df: pl.DataFrame,
+    variable_column: str,
+    variable_filter: list[str],
+    x: str,
+    y: str,
+    facet: bool,
+    lm: str | None,
+    settings: dict,
+):
+    if "unit" in df.columns:
+        df = df.with_columns(
+            pl.struct(["parameter", "unit"])
+            .map_elements(lambda s: f"{s['parameter']} ({s['unit']})")
+            .alias("parameter"),
+        )
+    fig = px.scatter(
+        x=df.get_column(x).to_list(),
+        y=df.get_column(y).to_list(),
+        color=df.get_column(variable_column).to_list(),
+        facet_row=df.get_column(variable_column).to_list() if facet else None,
+        trendline=lm,
+    )
+    fig.update_traces(
+        marker={"opacity": settings["opacity"], "symbol": settings["symbol"], "size": settings["size"]},
+    )
+    fig.update_layout(
+        legend={"x": 0, "y": 1.08},
+        height=400 * len(variable_filter),  # plot height times parameters
+        xaxis_title="date",
+        yaxis_title="value",
+    )
+    fig.update_yaxes(matches=None)
+    # Update y-axis titles to use facet labels and remove subplot titles
+    for i, annotation in enumerate(fig.layout.annotations):
+        axis_name = f"yaxis{i + 1}"
+        if axis_name in fig.layout:
+            fig.layout[axis_name].title.text = annotation.text
+        annotation.text = ""
+    return fig
+
+
+title = f"Wetterdienst Explorer v{__version__}"
+st.set_page_config(page_title=title)
+st.title(title)
+
+with st.sidebar:
+    st.header("Settings")
+
+    st.subheader("General")
+    ts_humanize = st.checkbox("humanize", value=True)
+    ts_si_units = st.checkbox("si_units", value=True)
+    settings = {"ts_humanize": ts_humanize, "ts_si_units": ts_si_units}
+
+    st.subheader("Plotting")
+
+    marker_size = st.slider("marker size", min_value=1, max_value=8, value=2)
+    opacity = st.slider("opacity", min_value=0.0, max_value=1.0, value=1.0)
+    marker_symbol = st.selectbox("marker symbol", options=["circle", "square", "diamond", "cross", "x"])
+    plotting_settings = {"opacity": opacity, "symbol": marker_symbol, "size": marker_size}
+
+st.subheader("Introduction")
+st.markdown(
+    """
+    This is a streamlit app based on the [wetterdienst](https://github.com/earthobservations/wetterdienst)
+    library that enables the user to analyze meteorological and hydrological data by the
+    [Deutscher Wetterdienst](https://www.dwd.de/) and others. You can select any of the stations (by station id or
+    name), download its data (as CSV or JSON) and get visualizations of it. Enjoy!
+    """,
+)
+
+st.subheader("Request")
+provider_options = [provider.name for provider in RequestRegistry]
+provider = st.selectbox("Select provider", options=provider_options, index=provider_options.index("DWD"))
+network_options = RequestRegistry.get_network_names(provider)
+network = st.selectbox(
+    "Select network",
+    options=network_options,
+    index=network_options.index("OBSERVATION") if "OBSERVATION" in network_options else 0,
+)
+
+api = Wetterdienst(provider, network)
+
+resolution_options = list(api.discover().keys())
+resolution = st.selectbox(
+    "Select resolution",
+    options=resolution_options,
+    index=resolution_options.index("daily") if "daily" in resolution_options else 0,
+)
+dataset_options = list(api.discover(flatten=False)[resolution].keys())
+dataset = st.selectbox(
+    "Select dataset",
+    options=dataset_options,
+    index=dataset_options.index("climate_summary") if "climate_summary" in dataset_options else 0,
+)
+parameter_options = list(api.discover(flatten=False)[resolution][dataset].keys())
+parameter_options = [dataset] + parameter_options
+parameter = st.selectbox("Select parameter", options=parameter_options, index=0)
+
+if api._period_type == PeriodType.FIXED:
+    period = list(api._period_base)[0]
+    period_options = [period.name]
+else:
+    period_options = []
+    for period in api._period_base:
+        period_options.append(period.name)
+period = st.multiselect(
+    "Select period", options=period_options, default=period_options, disabled=len(period_options) == 1
+)
+
+request_kwargs = {
+    "parameter": (parameter, dataset),
+    "resolution": resolution,
+    "settings": settings,
+}
+if api._period_type != PeriodType.FIXED:
+    request_kwargs["period"] = period
+
+df_stations = get_stations(provider, network, request_kwargs).df
+with st.expander("Map of all stations", expanded=False):
+    st.map(df_stations, latitude="latitude", longitude="longitude")
+
+st.subheader("Station")
+station = st.selectbox(
+    "Select climate station",
+    options=df_stations.sort("name").rows(named=True),
+    format_func=lambda s: f"{s['name']} [{s['station_id']}]",
+)
+df = pl.DataFrame()
+if station:
+    request_station = get_station(provider, network, request_kwargs, station["station_id"])
+    df = request_station.values.all().df
+    station["start_date"] = station["start_date"].isoformat() if station["start_date"] else None
+    station["end_date"] = station["end_date"].isoformat() if station["end_date"] else None
+    with st.expander("Station JSON", expanded=False):
+        st.json(json.dumps(station, indent=4, ensure_ascii=False))
+    with st.expander("Map of selected station", expanded=False):
+        st.map(request_station.df, latitude="latitude", longitude="longitude")
+
+st.subheader("Values")
+df_stats = (
+    df.drop_nulls(["value"])
+    .group_by(["parameter"])
+    .agg(pl.count("value").alias("count"), pl.min("date").alias("min_date"), pl.max("date").alias("max_date"))
+)
+df_stats = df_stats.sort("parameter")
+df_stats = df_stats.with_columns(
+    pl.col("min_date").map_elements(lambda d: d.isoformat()).alias("min_date"),
+    pl.col("max_date").map_elements(lambda d: d.isoformat()).alias("max_date"),
+)
+values_summary = df_stats.to_dicts()
+with st.expander("Stats JSON", expanded=False):
+    st.json(json.dumps(values_summary, indent=4, ensure_ascii=False))
+
+st.info(
+    """
+    Use [duckdb](https://duckdb.org/docs/sql/introduction.html) sql queries to transform the data.
+    Important:
+      - use **FROM df**
+      - use single quotes for strings e.g. 'a_string'
+    """,
+)
+sql_query = st.text_area(
+    "sql query",
+    value=SQL_DEFAULT,
+)
+if station:
+    if sql_query:
+        df = duckdb.query(sql_query).pl()
+    st.dataframe(df, hide_index=True, use_container_width=True)
+    st.download_button("Download CSV", df.write_csv(), "data.csv", "text/csv")
+    st.download_button(
+        "Download JSON",
+        df.with_columns(pl.col("date").map_elements(lambda d: d.isoformat())).write_json(
+            pretty=True,
+            row_oriented=True,
+        ),
+        "data.json",
+        "text/json",
+    )
+
+st.subheader("Plot")
+plot_enable = not df.is_empty()
+
+with st.expander("settings", expanded=True):
+    columns = sorted(df.columns)
+    column_x = st.selectbox("Column X", options=columns, index="date" in columns and columns.index("date"))
+    columns = columns.copy()
+    columns.remove(column_x)
+    column_y = st.selectbox("Column Y", options=columns, index="value" in columns and columns.index("value"))
+    columns = columns.copy()
+    columns.remove(column_y)
+    variable_column = st.selectbox(
+        "Column Variable",
+        options=columns,
+        index="parameter" in columns and columns.index("parameter"),
+    )
+    variable_options = df.get_column(variable_column).unique().sort().to_list()
+    variable_filter = st.multiselect("Variable Filter", options=variable_options)
+    df = df.filter(pl.col(variable_column).is_in(variable_filter))
+    facet = st.toggle("facet")
+    lm = st.selectbox("linear model", options=["none", "lowess", "ols", "expanding"])
+    lm = lm if lm != "none" else None
+
+if not plot_enable:
+    st.warning("No plot. Reason: empty DataFrame")
+elif not variable_filter:
+    st.warning("No plot. Reason: empty variable filter")
+else:
+    fig = create_plotly_fig(df, variable_column, variable_filter, column_x, column_y, facet, lm, plotting_settings)
+    st.plotly_chart(fig)
+
+st.subheader("Credits")
+st.markdown(
+    """
+    This app is powered by [wetterdienst](https://github.com/earthobservations/wetterdienst) from
+    [earthobservations](https://github.com/earthobservations) developers.
+
+    Credits for the data go to
+    [Deutscher Wetterdienst](https://www.dwd.de) - Germany's national meteorological service - and
+    [others](https://wetterdienst.readthedocs.io/en/latest/data/coverage.html) for publishing their data as
+    **open data**.
+
+    Credits also go to [streamlit](https://streamlit.io/) for hosting this
+    app.
+
+    Special credits go to [Daniel Lassahn](https://github.com/meteoDaniel) who had originally started the idea of
+    creating an interactive dashboard on top of the wetterdienst library.
+
+    If you have any issues or ideas regarding this app, please let us know in the
+    [issues](https://github.com/earthobservations/wetterdienst/issues) on Github.
+    """,
+)
diff --git a/wetterdienst/ui/explorer/__init__.py b/wetterdienst/ui/explorer/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/wetterdienst/ui/explorer/app.py b/wetterdienst/ui/explorer/app.py
deleted file mode 100644
index e1a804192..000000000
--- a/wetterdienst/ui/explorer/app.py
+++ /dev/null
@@ -1,607 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-"""
-Wetterdienst Explorer UI Dash application.
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-
-import dash
-import dash_bootstrap_components as dbc
-import dash_leaflet as dl
-import plotly.graph_objects as go
-import polars as pl
-from dash import Input, Output, State, dcc, html
-from geojson import Feature, FeatureCollection, Point
-
-from wetterdienst.api import RequestRegistry
-from wetterdienst.metadata.columns import Columns
-from wetterdienst.metadata.period import PeriodType
-from wetterdienst.provider.dwd.mosmix import DwdMosmixRequest, DwdMosmixType
-from wetterdienst.ui.core import get_stations, get_values
-from wetterdienst.ui.explorer.layout.main import get_app_layout
-from wetterdienst.ui.explorer.library import default_figure
-from wetterdienst.ui.explorer.util import frame_summary
-from wetterdienst.util.cli import setup_logging
-
-log = logging.getLogger(__name__)
-
-# Create and configure Dash application object.
-app = dash.Dash(
-    __name__,
-    meta_tags=[{"name": "viewport", "content": "width=device-width"}],
-    external_stylesheets=[dbc.themes.BOOTSTRAP, dbc.themes.SANDSTONE],
-    suppress_callback_exceptions=True,
-)
-app.title = "Wetterdienst Explorer"
-app.layout = get_app_layout()
-
-empty_frame = pl.DataFrame().write_json(row_oriented=True)
-
-
-@app.callback(
-    Output("modal-about", "is_open"),
-    [Input("open-about", "n_clicks"), Input("close-about", "n_clicks")],
-    [State("modal-about", "is_open")],
-)
-def toggle_about(n1, n2, is_open):
-    if n1 or n2:
-        return not is_open
-    return is_open
-
-
-@app.callback(
-    Output("dataframe-stations_result", "children"),
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-        Input("select-dataset", "value"),
-        Input("select-parameter", "value"),
-        Input("select-period", "value"),
-    ],
-)
-def fetch_stations(provider: str, network: str, resolution: str, dataset: str, parameter: str, period: str):
-    """
-    Fetch "stations_result" data.
-
-    This will be used to populate the navigation chooser and to render the map.
-
-    The data will be stored on a hidden within the browser DOM.
-    """
-    if not (provider and network and resolution and dataset and parameter and period):
-        return empty_frame
-
-    api = RequestRegistry.resolve(provider, network)
-
-    if period == "ALL":
-        period = [*api._period_base]
-
-    log.info(f"Requesting stations for parameter={parameter}, resolution={resolution}, period={period}")
-
-    try:
-        stations = get_stations(
-            api=api,
-            parameter=parameter,
-            resolution=resolution,
-            period=period,
-            lead_time="short",
-            date=None,
-            issue="latest",
-            all_=True,
-            station_id=None,
-            name=None,
-            coordinates=None,
-            rank=None,
-            distance=None,
-            bbox=None,
-            sql=None,
-            si_units=True,
-            shape="long",
-            humanize=True,
-            skip_empty=False,
-            skip_threshold=0.95,
-            skip_criteria="min",
-            dropna=False,
-        )
-    except Exception as e:
-        log.warning(e)
-        log.error("Unable to connect to data source")
-        return empty_frame
-
-    df = stations.df
-
-    df = df.with_columns(
-        pl.col(Columns.START_DATE.value).map_elements(
-            lambda date: date and date.isoformat() or None,
-            return_dtype=pl.Utf8,
-        ),
-        pl.col(Columns.END_DATE.value).map_elements(
-            lambda date: date and date.isoformat() or None,
-            return_dtype=pl.Utf8,
-        ),
-    )
-
-    log.info(f"Propagating stations data frame with {frame_summary(df)}")
-
-    return df.write_json(row_oriented=True)
-
-
-@app.callback(
-    Output("dataframe-values", "children"),
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-        Input("select-dataset", "value"),
-        Input("select-parameter", "value"),
-        Input("select-period", "value"),
-        Input("select-station", "value"),
-    ],
-)
-def fetch_values(
-    provider: str,
-    network: str,
-    resolution: str,
-    dataset: str,
-    parameter: str,
-    period: str,
-    station_id: int,
-):
-    """
-    Fetch "values" data.
-
-    This will be used to populate the navigation chooser and to render the graph.
-
-    The data will be stored on a hidden within the browser DOM.
-    """
-    if not (provider and network and resolution and dataset and parameter and period):
-        return empty_frame
-
-    # Sanity checks.
-    if station_id is None:
-        log.warning("Querying without station_id is rejected")
-        return empty_frame
-
-    api = RequestRegistry.resolve(provider, network)
-
-    if period == "ALL":
-        period = [*api._period_base]
-
-    log.info(
-        f"Requesting values for station_id={station_id}, parameter={parameter}, resolution={resolution}, "
-        f"period={period}",
-    )
-
-    try:
-        values = get_values(
-            api=api,
-            parameter=parameter,
-            resolution=resolution,
-            period=period,
-            date=None,
-            issue="latest",
-            all_=None,
-            station_id=station_id,
-            name=None,
-            coordinates=None,
-            rank=None,
-            distance=None,
-            bbox=None,
-            sql=None,
-            sql_values=None,
-            si_units=True,
-            shape="long",
-            skip_empty=False,
-            skip_threshold=0.95,
-            skip_criteria="min",
-            dropna=False,
-            humanize=True,
-        )
-    except ValueError:
-        log.exception("No data received")
-        return empty_frame
-
-    df = values.df
-    df = df.drop("quality").drop_nulls()
-    df = df.with_columns(pl.col("date").map_elements(lambda date: date.isoformat()))
-
-    log.info(f"Propagating values data frame with {frame_summary(df)}")
-
-    return json.dumps({"values": df.to_dicts(), "unit_dict": values.stations.stations.discover()})
-
-
-@app.callback(
-    Output("select-station", "options"),
-    [Input("dataframe-stations_result", "children")],
-)
-def render_navigation_stations(payload):
-    """
-    Compute list of items from "stations_result" data for populating the "stations_result"
-    chooser element.
-    """
-    data = json.loads(payload)
-
-    if not data:
-        return []
-
-    try:
-        stations_data = pl.from_dicts(data, infer_schema_length=0)
-    except ValueError:
-        stations_data = pl.DataFrame()
-
-    log.info(f"Rendering stations_result dropdown from {frame_summary(stations_data)}")
-    return [
-        {"label": name, "value": station_id}
-        for name, station_id in stations_data.select("name", "station_id").iter_rows()
-    ]
-
-
-@app.callback(
-    Output("status-response-stations_result", "children"),
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-        Input("select-dataset", "value"),
-        Input("select-parameter", "value"),
-        Input("select-period", "value"),
-        Input("dataframe-stations_result", "children"),
-    ],
-)
-def render_status_response_stations(
-    provider: str,
-    network: str,
-    resolution: str,
-    dataset: str,
-    parameter: str,
-    period: str,
-    payload: str,
-):
-    """
-    Report about the status of the query.
-    """
-
-    title = [dcc.Markdown("#### Stations")]
-
-    if not (provider and network and resolution and dataset and parameter and period):
-        empty_message = [dcc.Markdown("Choose from provider, network, resolution, dataset,  parameter and period.")]
-
-        return title + empty_message
-
-    empty_message = [
-        dcc.Markdown(
-            f"""
-            No data. Maybe the combination of "{resolution}", "{dataset}", "{parameter}" and "{period}"
-            is invalid for provider "{provider}" and network "{network}".
-            """,
-        ),
-    ]
-
-    data = json.loads(payload)
-
-    if not data:
-        return title + empty_message
-
-    stations_data = pl.from_dicts(data)
-
-    return title + [
-        html.Div(
-            [
-                html.Div(f"Columns: {len(stations_data.columns)}"),
-                html.Div(f"Records: {len(stations_data)}"),
-            ],
-        ),
-    ]
-
-
-@app.callback(
-    Output("status-response-values", "children"),
-    [
-        Input("dataframe-values", "children"),
-        State("select-provider", "value"),
-        State("select-network", "value"),
-        State("select-resolution", "value"),
-        State("select-dataset", "value"),
-        State("select-parameter", "value"),
-        State("select-period", "value"),
-        State("select-station", "value"),
-    ],
-)
-def render_status_response_values(
-    payload: str,
-    provider: str,
-    network: str,
-    resolution: str,
-    dataset: str,
-    parameter: str,
-    period: str,
-    station: str,
-):
-    """
-    Report about the status of the query.
-    """
-    try:
-        climate_data = pl.from_dicts(payload["values"])
-    except (KeyError, ValueError, TypeError):
-        climate_data = pl.DataFrame()
-
-    messages = [dcc.Markdown("#### Values")]
-
-    if climate_data.is_empty():
-        # Main message.
-        empty_message = [html.Span("No data. ")]
-        candidates = ["provider", "network", "resolution", "dataset", "parameter", "period", "station"]
-        missing = []
-        for candidate in candidates:
-            if locals().get(candidate) is None:
-                missing.append(candidate)
-        if missing:
-            empty_message.append(html.Span(f"Please select all of the missing options {missing}."))
-        messages += [html.Div(empty_message), html.Br()]
-
-    messages += [
-        html.Div(f"Columns: {len(climate_data.columns)}"),
-        html.Div(f"Records: {len(climate_data)}"),
-        html.Br(),
-    ]
-    if "date" in climate_data:
-        messages += [
-            html.Div(f"Station: {station}"),
-            html.Div(f"Begin date: {climate_data.get_column('date').min()}"),
-            html.Div(f"End date: {climate_data.get_column('date').max()}"),
-        ]
-
-    return html.Div(messages)
-
-
-@app.callback(
-    Output("map-stations_result", "children"),
-    [Input("dataframe-stations_result", "children")],
-)
-def render_map(payload):
-    """
-    Create a "map" Figure element from "stations_result" data.
-    """
-    data = json.loads(payload)
-    if not data:
-        return []
-    stations_data = pl.from_dicts(data, infer_schema_length=0)
-    stations_data = stations_data.with_columns(
-        pl.col("station_id").cast(pl.Utf8),
-        pl.col("latitude").cast(pl.Float64),
-        pl.col("longitude").cast(pl.Float64),
-    )
-    log.info(f"Rendering stations_result map from {frame_summary(stations_data)}")
-    # columns used for constructing geojson object
-    features = [
-        Feature(
-            geometry=Point((longitude, latitude)),
-            properties={"station_id": station_id},
-        )
-        for station_id, latitude, longitude in stations_data.select("station_id", "latitude", "longitude").iter_rows()
-    ]
-    # all the other columns used as properties
-    properties = stations_data.drop("latitude", "longitude").to_dicts()
-    # whole geojson object
-    feature_collection = FeatureCollection(features=features, properties=properties)
-    return dl.GeoJSON(id="markers", data=feature_collection, cluster=True, zoomToBounds=True, zoomToBoundsOnClick=True)
-
-
-@app.callback(
-    Output("select-station", "value"),
-    [
-        Input("markers", "click_feature"),
-    ],
-)
-def map_click(click_feature):
-    if click_feature is not None:
-        return click_feature.get("properties", {}).get("station_id")
-    return None
-
-
-def _get_station_text(row):
-    return f"Name: {row['name']}\nId: {row['station_id']}\nHeight: {row['height']}m"
-
-
-@app.callback(
-    Output("graph-values", "figure"),
-    [Input("select-parameter", "value"), Input("select-resolution", "value"), Input("dataframe-values", "children")],
-)
-def render_graph(parameter, resolution, payload: str):
-    """
-    Create a "graph" Figure element from "values" data.
-    """
-    data = json.loads(payload)
-
-    try:
-        climate_data = pl.from_dicts(data["values"])
-        unit_dict = data["unit_dict"]
-    except (KeyError, ValueError, TypeError):
-        climate_data = pl.DataFrame()
-        unit_dict = {}
-
-    log.info(f"Rendering graph for parameter={parameter} from {frame_summary(climate_data)}")
-
-    fig = default_figure(climate_data, parameter, resolution, unit_dict)
-
-    fig.update_layout(
-        margin=go.layout.Margin(
-            l=0,  # left margin
-            r=0,  # right margin
-            b=0,  # bottom margin
-            t=0,  # top margin
-        ),
-    )
-
-    return fig
-
-
-@app.callback(Output("select-network", "options"), Input("select-provider", "value"))
-def set_network_options(provider):
-    """Set network options based on provider"""
-    if not provider:
-        return []
-
-    return [{"label": network, "value": network} for network in RequestRegistry.get_network_names(provider)]
-
-
-@app.callback(
-    Output("select-resolution", "options"),
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-    ],
-)
-def set_resolution_options(provider, network):
-    """Set resolution options based on provider and network"""
-    if not (provider and network):
-        return []
-
-    api = RequestRegistry.resolve(provider, network)
-
-    if issubclass(api, DwdMosmixRequest):
-        return [{"label": resolution.name, "value": resolution.name} for resolution in DwdMosmixType]
-    else:
-        return [{"label": resolution.name, "value": resolution.name} for resolution in api._resolution_base]
-
-
-@app.callback(
-    Output("select-dataset", "options"),
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-    ],
-)
-def set_dataset_options(provider, network, resolution):
-    """Set dataset options based on provider network and resolution"""
-    if not (provider and network and resolution):
-        return []
-
-    api = RequestRegistry.resolve(provider, network)
-
-    datasets = [{"label": resolution, "value": resolution}]
-    for dataset in api._parameter_base[resolution]:
-        if not hasattr(dataset, "name"):
-            ds_dict = {"label": dataset.__name__, "value": dataset.__name__}
-            if ds_dict not in datasets:
-                datasets.append(ds_dict)
-    return datasets
-
-
-@app.callback(
-    [
-        Output("select-parameter", "options"),
-        Output("select-period", "options"),
-    ],
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-        Input("select-dataset", "value"),
-    ],
-)
-def set_parameter_options(provider, network, resolution, dataset):
-    """Set parameter options based on provider, network, resolution and dataset"""
-    if not (provider and network and resolution and dataset):
-        return [], []
-
-    api = RequestRegistry.resolve(provider, network)
-
-    if dataset == resolution:
-        # Return long shape parameters e.g. parameters grouped under one resolution
-        parameters = [
-            {"label": parameter.name, "value": parameter.name}
-            for parameter in api._parameter_base[resolution]
-            if hasattr(parameter, "name")
-        ]
-    else:
-        # return individual parameters of one dataset e.g. climate_summary
-        parameters = [
-            {"label": parameter.name, "value": parameter.name} for parameter in api._parameter_base[resolution][dataset]
-        ]
-
-    if api._period_type == PeriodType.FIXED:
-        period = list(api._period_base)[0]
-        periods = [{"label": period.name, "value": period.name}]
-    else:
-        # Periods ALL placeholder, may use click options for multiple periods
-        periods = [{"label": "ALL", "value": "ALL"}]
-        for period in api._period_base:
-            periods.append({"label": period.name, "value": period.name})
-
-    return parameters, periods
-
-
-@app.callback(
-    [
-        Output("select-network", "value"),
-        Output("select-resolution", "value"),
-        Output("select-dataset", "value"),
-        Output("select-parameter", "value"),
-        Output("select-period", "value"),
-    ],
-    [
-        Input("select-provider", "value"),
-        Input("select-network", "value"),
-        Input("select-resolution", "value"),
-        Input("select-dataset", "value"),
-        Input("select-parameter", "value"),
-        Input("select-period", "value"),
-    ],
-)
-def reset_values(
-    provider,  # noqa: ARG001
-    network,
-    resolution,
-    dataset,
-    parameter,
-    period,
-):
-    """Reset settings values if any previous parameter has been changed e.g.
-    when a new provider is selected, reset network, resolution, etc"""
-    last_triggered = dash.callback_context.triggered[0]["prop_id"].split(".")[0]
-
-    previous = ("select-provider", "select-network", "select-resolution", "select-dataset")
-
-    if last_triggered in previous[:1]:
-        network = None
-
-    if last_triggered in previous[:2]:
-        resolution = None
-
-    if last_triggered in previous[:3]:
-        dataset = None
-
-    if last_triggered in previous:
-        parameter = None
-        period = None
-
-    return network, resolution, dataset, parameter, period
-
-
-def start_service(listen_address: str | None = None, reload: bool | None = False):  # pragma: no cover
-    """
-    This entrypoint will be used by `wetterdienst.cli`.
-    """
-
-    setup_logging()
-
-    if listen_address is None:
-        listen_address = "127.0.0.1:7891"
-
-    host, port = listen_address.split(":")
-    port = int(port)
-
-    app.run_server(host=host, port=port, debug=reload)
-
-
-if __name__ == "__main__":
-    """
-    This entrypoint will be used by `dash.testing`.
-    """
-    app.run_server(debug=True)
diff --git a/wetterdienst/ui/explorer/assets/styles.css b/wetterdienst/ui/explorer/assets/styles.css
deleted file mode 100644
index 0d85f3559..000000000
--- a/wetterdienst/ui/explorer/assets/styles.css
+++ /dev/null
@@ -1,48 +0,0 @@
-body {
-  margin: 2%;
-}
-
-#mainContainer {
-  display: flex;
-  flex-direction: column;
-}
-
-.map-panel {
-  border-radius: 5px;
-  background-color: #f9f9f9;
-  margin: 10px;
-  padding: 15px;
-  position: relative;
-  box-shadow: 2px 2px 2px lightgrey;
-}
-
-.bare_container {
-  margin: 0 0 0 0;
-  padding: 0 0 0 0;
-}
-
-.mini_container {
-  border-radius: 5px;
-  background-color: #f9f9f9;
-  margin: 10px;
-  padding: 15px;
-  position: relative;
-  box-shadow: 2px 2px 2px lightgrey;
-}
-
-.dcc_control {
-  margin: 0;
-  padding: 5px;
-  width: calc(100% - 40px);
-}
-
-.control_label {
-  padding: 10px 10px 0px;
-  margin: 0 0 0px;
-  width: calc(100% - 40px);
-}
-
-.rc-slider {
-  margin-left: 0px;
-  padding-left: 0px;
-}
diff --git a/wetterdienst/ui/explorer/layout/__init__.py b/wetterdienst/ui/explorer/layout/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/wetterdienst/ui/explorer/layout/main.py b/wetterdienst/ui/explorer/layout/main.py
deleted file mode 100644
index 0f12248e3..000000000
--- a/wetterdienst/ui/explorer/layout/main.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-"""
-Wetterdienst Explorer UI layout.
-"""
-
-import dash_bootstrap_components as dbc
-from dash import dcc, html
-
-from wetterdienst.ui.explorer.layout.observations_germany import dashboard_layout
-
-
-def get_about_modal():
-    return dbc.Modal(
-        [
-            dbc.ModalHeader(html.P("About Wetterdienst Explorer")),
-            dbc.ModalBody(
-                dcc.Markdown(
-                    """
-                    Wetterdienst Explorer is a Dash user interface on top of Wetterdienst.
-
-                    **Resources**:
-                    - https://wetterdienst.readthedocs.io/en/latest/overview.html
-                    - https://github.com/earthobservations/wetterdienst
-                    """,
-                ),
-            ),
-            dbc.ModalFooter(dbc.Button("Close", id="close-about", className="ml-auto")),
-        ],
-        id="modal-about",
-        is_open=False,
-        centered=True,
-        autoFocus=True,
-        size="lg",
-        keyboard=True,
-        fade=True,
-        backdrop=True,
-    )
-
-
-def get_app_layout():
-    return html.Div(
-        [
-            dcc.Location(id="url", refresh=False),
-            html.Div(
-                [
-                    html.H1("Wetterdienst Explorer"),
-                    dbc.Navbar(
-                        [dbc.NavLink("About", id="open-about")],
-                        id="navbar",
-                    ),
-                    get_about_modal(),
-                ],
-                className="d-flex flex-row",
-                style={"justify-content": "space-between"},
-            ),
-            dashboard_layout(),
-        ],
-        id="mainContainer",
-        style={"display": "flex", "flex-direction": "column"},
-    )
diff --git a/wetterdienst/ui/explorer/layout/observations_germany.py b/wetterdienst/ui/explorer/layout/observations_germany.py
deleted file mode 100644
index 68a73d7f8..000000000
--- a/wetterdienst/ui/explorer/layout/observations_germany.py
+++ /dev/null
@@ -1,138 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-import dash_leaflet as dl
-from dash import dcc, html
-
-from wetterdienst.api import RequestRegistry
-
-
-def get_providers():
-    return [{"label": provider, "value": provider} for provider in RequestRegistry.get_provider_names()]
-
-
-def dashboard_layout() -> html:
-    """
-    Dashboard layout for observations in Germany.
-    """
-    return html.Div(
-        [
-            html.Div(
-                [
-                    html.Div(
-                        [
-                            dcc.Dropdown(
-                                id="select-provider",
-                                options=get_providers(),
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select provider...",
-                            ),
-                            dcc.Dropdown(
-                                id="select-network",
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select network...",
-                            ),
-                            dcc.Dropdown(
-                                id="select-resolution",
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select resolution...",
-                            ),
-                            dcc.Dropdown(
-                                id="select-dataset",
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select dataset...",
-                            ),
-                            dcc.Dropdown(
-                                id="select-parameter",
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select parameter...",
-                            ),
-                            dcc.Dropdown(
-                                id="select-period",
-                                value=None,
-                                multi=False,
-                                className="dcc_control",
-                                placeholder="Select period...",
-                            ),
-                            dcc.Loading(
-                                id="loading-1",
-                                children=[
-                                    dcc.Dropdown(
-                                        id="select-station",
-                                        multi=False,
-                                        className="dcc_control",
-                                        placeholder="Select station...",
-                                    ),
-                                    html.Div(
-                                        [],
-                                        id="dataframe-values",
-                                        style={"display": "None"},
-                                    ),
-                                ],
-                            ),
-                        ],
-                        id="navigation",
-                        className="col map-panel d-flex flex-column",
-                    ),
-                    html.Div(
-                        [
-                            dl.Map(
-                                [
-                                    dl.LayersControl(
-                                        [
-                                            dl.BaseLayer(
-                                                dl.TileLayer(),
-                                                name="OpenStreetMaps",
-                                                checked=True,
-                                            ),
-                                            dl.LayerGroup(id="map-stations_result"),
-                                        ],
-                                    ),
-                                ],
-                                id="map",
-                            ),
-                        ],
-                        id="map-div",
-                        className="col map-panel",
-                    ),
-                    html.Div(
-                        [
-                            html.Div(
-                                id="status-response-stations_result",
-                            ),
-                            html.Hr(),
-                            html.Div(
-                                id="status-response-values",
-                            ),
-                        ],
-                        id="status-response",
-                        className="col map-panel flex-column",
-                    ),
-                ],
-                id="header",
-                className="d-flex flex-row",
-            ),
-            html.Div(
-                [
-                    html.Div(
-                        [
-                            dcc.Graph(id="graph-values"),
-                        ],
-                        id="graph",
-                        className="col wd-panel",
-                    ),
-                ],
-                className="d-flex flex-row",
-            ),
-            html.Div([], id="dataframe-stations_result", style={"display": "None"}),
-        ],
-    )
diff --git a/wetterdienst/ui/explorer/library.py b/wetterdienst/ui/explorer/library.py
deleted file mode 100644
index fa3182fc6..000000000
--- a/wetterdienst/ui/explorer/library.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-"""
-Library of generic components.
-
-Examples:
-- Different figures for different data types.
-"""
-
-import plotly.graph_objs as go
-import polars as pl
-
-
-def default_figure(climate_data: pl.DataFrame, parameter, resolution, unit_dict) -> go.Figure:
-    """
-    Default figure generation
-    Args:
-        climate_data: DataFrame with
-        column: Which column of the data should be displayed
-    Returns:
-        plotly Figure object
-    """
-    if climate_data.is_empty():
-        fig = go.Figure()
-        add_annotation_no_data(fig)
-        return fig
-
-    ytitle = f"{parameter.lower()} [{unit_dict[resolution.lower()][parameter.lower()]['si']}]"
-
-    fig = go.Figure(
-        data=[
-            go.Scatter(
-                x=climate_data.get_column("date").to_list(),
-                y=climate_data.get_column("value").to_list(),
-                hoverinfo="x+y",
-            ),
-        ],
-    )
-    fig.update_layout(yaxis={"title": ytitle}, xaxis={"title": "Date"}, showlegend=False)
-    return fig
-
-
-def add_annotation_no_data(fig: go.Figure):
-    fig.add_annotation(
-        text="No data to display",
-        xref="paper",
-        yref="paper",
-        showarrow=False,
-        font={"size": 28},
-    )
diff --git a/wetterdienst/ui/explorer/util.py b/wetterdienst/ui/explorer/util.py
deleted file mode 100644
index 3424ebb1d..000000000
--- a/wetterdienst/ui/explorer/util.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Copyright (C) 2018-2021, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-import polars as pl
-
-
-def frame_summary(frame: pl.DataFrame):
-    return f"{len(frame)} records and columns={list(frame.columns)}"
diff --git a/wetterdienst/ui/streamlit/requirements.txt b/wetterdienst/ui/requirements.txt
similarity index 100%
rename from wetterdienst/ui/streamlit/requirements.txt
rename to wetterdienst/ui/requirements.txt
diff --git a/wetterdienst/ui/streamlit/__init__.py b/wetterdienst/ui/streamlit/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/wetterdienst/ui/streamlit/app.py b/wetterdienst/ui/streamlit/app.py
deleted file mode 100644
index c3cb7738e..000000000
--- a/wetterdienst/ui/streamlit/app.py
+++ /dev/null
@@ -1,214 +0,0 @@
-# Copyright (C) 2018-2023, earthobservations developers.
-# Distributed under the MIT License. See LICENSE for more info.
-from __future__ import annotations
-
-import json
-
-import duckdb
-import plotly.express as px
-import polars as pl
-import streamlit
-import streamlit as st
-
-from wetterdienst import Settings, __version__
-from wetterdienst.provider.dwd.observation import DwdObservationRequest
-
-SQL_DEFAULT = """
-SELECT *
-FROM df
-WHERE value IS NOT NULL
-""".strip()
-
-
-def get_dwd_observation_request(settings=None):
-    if settings:
-        settings = Settings(**settings)
-    return DwdObservationRequest("climate_summary", "daily", settings=settings)
-
-
-@streamlit.cache_data
-def get_dwd_observation_stations(settings):
-    return get_dwd_observation_request(settings=settings).all().df
-
-
-@streamlit.cache_data
-def get_dwd_observation_station(station_id, settings):
-    return get_dwd_observation_request(settings=settings).filter_by_station_id(station_id)
-
-
-@streamlit.cache_data
-def get_dwd_observation_station_values_df(station_id, settings):
-    request = get_dwd_observation_request()
-    units = request.discover("daily", "climate_summary")["daily"]
-    units = {
-        parameter: (unit["si"] if settings["ts_si_units"] else unit["origin"]) for parameter, unit in units.items()
-    }
-    values = get_dwd_observation_station(station_id, settings).values.all().df
-    return values.with_columns(pl.col("parameter").replace(units).alias("unit"))
-
-
-def create_plotly_fig(
-    df: pl.DataFrame,
-    variable_column: str,
-    variable_filter: list[str],
-    x: str,
-    y: str,
-    facet: bool,
-    lm: str | None,
-    settings: dict,
-):
-    if "unit" in df.columns:
-        df = df.with_columns(
-            pl.struct(["parameter", "unit"])
-            .map_elements(lambda s: f"{s['parameter']} ({s['unit']})")
-            .alias("parameter"),
-        )
-    fig = px.scatter(
-        x=df.get_column(x).to_list(),
-        y=df.get_column(y).to_list(),
-        color=df.get_column(variable_column).to_list(),
-        facet_row=df.get_column(variable_column).to_list() if facet else None,
-        trendline=lm,
-    )
-    fig.update_traces(
-        marker={"opacity": settings["opacity"], "symbol": settings["symbol"], "size": settings["size"]},
-    )
-    fig.update_layout(
-        legend={"x": 0, "y": 1.08},
-        height=400 * len(variable_filter),  # plot height times parameters
-        xaxis_title="date",
-        yaxis_title="value",
-    )
-    fig.update_yaxes(matches=None)
-    # Update y-axis titles to use facet labels and remove subplot titles
-    for i, annotation in enumerate(fig.layout.annotations):
-        axis_name = f"yaxis{i + 1}"
-        if axis_name in fig.layout:
-            fig.layout[axis_name].title.text = annotation.text
-        annotation.text = ""
-    return fig
-
-
-def main():
-    """Small streamlit app for accessing German climate stations by DWD"""
-    title = f"Wetterdienst Data Tool v{__version__}"
-    st.set_page_config(page_title=title)
-    st.title(title)
-
-    with st.sidebar:
-        st.header("Settings")
-
-        st.subheader("General")
-        ts_humanize = st.checkbox("humanize", value=True)
-        ts_si_units = st.checkbox("si_units", value=True)
-        settings = {"ts_humanize": ts_humanize, "ts_si_units": ts_si_units}
-
-        st.subheader("Plotting")
-
-        marker_size = st.slider("marker size", min_value=1, max_value=8, value=2)
-        opacity = st.slider("opacity", min_value=0.0, max_value=1.0, value=1.0)
-        marker_symbol = st.selectbox("marker symbol", options=["circle", "square", "diamond", "cross", "x"])
-        plotting_settings = {"opacity": opacity, "symbol": marker_symbol, "size": marker_size}
-
-    st.subheader("Introduction")
-    st.markdown(
-        """
-        This is a streamlit app based on the [wetterdienst](https://github.com/earthobservations/wetterdienst)
-        library that allows analysis of German climate stations (internally phrased "climate summary") by
-        the [Deutscher Wetterdienst](https://www.dwd.de/). There are over 1_500 climate stations in Germany and
-        all of the data can be accessed freely thanks to the open data initiative. The app enables you to select any
-        of the stations (by station id or name), download its data (as CSV) and get visualizations of it.
-        """,
-    )
-    st.markdown("Here's a map of all stations:")
-    stations = get_dwd_observation_stations(settings)
-    st.map(stations, latitude="latitude", longitude="longitude")
-
-    st.subheader("Select")
-    station = st.selectbox(
-        "Select climate station",
-        options=stations.sort("name").rows(named=True),
-        format_func=lambda s: f"{s['name']} [{s['station_id']}]",
-    )
-    if station:
-        station["start_date"] = station["start_date"].isoformat()
-        station["end_date"] = station["end_date"].isoformat()
-        st.code(json.dumps(station, indent=4), language="json")
-        st.map(get_dwd_observation_station(station["station_id"], settings).df)
-
-    st.subheader("DataFrame")
-    st.info(
-        """
-        Use [duckdb](https://duckdb.org/docs/sql/introduction.html) sql queries to transform the data.
-        Important:
-          - use **FROM df**
-          - use single quotes for strings e.g. 'a_string'
-        """,
-    )
-    sql_query = st.text_area(
-        "sql query",
-        value=SQL_DEFAULT,
-    )
-    df = pl.DataFrame()
-    if station:
-        df = get_dwd_observation_station_values_df(station["station_id"], settings)
-        if sql_query:
-            df = duckdb.query(sql_query).pl()
-        st.dataframe(df, hide_index=True, use_container_width=True)
-        st.download_button("Download CSV", df.write_csv(), "data.csv", "text/csv")
-        st.download_button(
-            "Download JSON",
-            df.with_columns(pl.col("date").map_elements(lambda d: d.isoformat())).write_json(
-                pretty=True,
-                row_oriented=True,
-            ),
-            "data.json",
-            "text/json",
-        )
-
-    st.subheader("Plot")
-    plot_enable = not df.is_empty()
-
-    with st.expander("settings", expanded=True):
-        columns = sorted(df.columns)
-        column_x = st.selectbox("Column X", options=columns, index="date" in columns and columns.index("date"))
-        columns = columns.copy()
-        columns.remove(column_x)
-        column_y = st.selectbox("Column Y", options=columns, index="value" in columns and columns.index("value"))
-        columns = columns.copy()
-        columns.remove(column_y)
-        variable_column = st.selectbox(
-            "Column Variable",
-            options=columns,
-            index="parameter" in columns and columns.index("parameter"),
-        )
-        variable_options = df.get_column(variable_column).unique().sort().to_list()
-        variable_filter = st.multiselect("Variable Filter", options=variable_options)
-        df = df.filter(pl.col(variable_column).is_in(variable_filter))
-        facet = st.toggle("facet")
-        lm = st.selectbox("linear model", options=["none", "lowess", "ols", "expanding"])
-        lm = lm if lm != "none" else None
-
-    if not plot_enable:
-        st.warning("No plot. Reason: empty DataFrame")
-    elif not variable_filter:
-        st.warning("No plot. Reason: empty variable filter")
-    else:
-        fig = create_plotly_fig(df, variable_column, variable_filter, column_x, column_y, facet, lm, plotting_settings)
-        st.plotly_chart(fig)
-
-    st.subheader("Credits")
-    st.markdown(
-        """
-        This app is powered by [wetterdienst](https://github.com/earthobservations/wetterdienst) from
-        [earthobservations](https://github.com/earthobservations). Credits for the data go to
-        [Deutscher Wetterdienst](https://www.dwd.de) - Germany's national meteorological service - for
-        publishing their data as **open data**. Credits also go to [streamlit](https://streamlit.io/) for hosting this
-        app. If you have any issues or ideas regarding this app, please let us know in the
-        [issues](https://github.com/earthobservations/wetterdienst/issues).
-        """,
-    )
-
-
-if __name__ == "__main__":
-    main()