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docs.yml
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# RAPIDS "APIs" - high-level data-science libraries similar to the functionality
# that Pandas provides, with little to no additional user-code
# necessary
apis:
cudf:
name: cuDF
path: cudf
desc: 'cuDF is a Python GPU DataFrame library (built on the [Apache Arrow](http://arrow.apache.org/) columnar memory format) for loading, joining, aggregating, filtering, and otherwise manipulating data.'
ghlink: https://github.com/rapidsai/cudf
cllink: https://github.com/rapidsai/cudf/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
dask-cudf:
name: dask-cuDF
path: dask-cudf
desc: 'Dask-cuDF extends Dask where necessary to allow its DataFrame partitions to be processed using cuDF GPU DataFrames instead of Pandas DataFrames. Dask-cuDF is used to leverage multiple gpus and multiple nodes for more performance at larger scales'
ghlink: https://github.com/rapidsai/cudf
cllink: https://github.com/rapidsai/cudf/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cuml:
name: cuML
path: cuml
desc: 'cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.'
ghlink: https://github.com/rapidsai/cuml
cllink: https://github.com/rapidsai/cuml/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cugraph:
name: cuGraph
path: cugraph
desc: 'cuGraph is a GPU accelerated graph analytics library, with functionality like NetworkX, which is seamlessly integrated into the RAPIDS data science platform. cuGraph supports GNNs with PyG, DGL packages and cugraph-ops (for low level optimized operations) as well as cugraph-service for analytics on a remote graph and WHOLEGRAPH for memory management.'
ghlink: https://github.com/rapidsai/cugraph
cllink: https://github.com/rapidsai/cugraph/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cuxfilter:
name: cuxfilter
path: cuxfilter
desc: 'cuxfilter acts as a connector library, which provides the connections between different visualization libraries and a GPU dataframe without much hassle. This also allows the user to use charts from different libraries in a single dashboard, while also providing the interaction.'
ghlink: https://github.com/rapidsai/cuxfilter
cllink: https://github.com/rapidsai/cuxfilter/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cuspatial:
name: cuSpatial
path: cuspatial
desc: 'cuSpatial is a GPU-accelerated vector GIS library including binary predicates (DE-9IM), point-in-polygon, spatial join, distances, and trajectory analysis.'
ghlink: https://github.com/rapidsai/cuspatial
cllink: https://github.com/rapidsai/cuspatial/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cuproj:
name: cuProj
path: cuProj
desc: 'cuProj is a GPU-accelerated geographic and geodetic coordinate transformation library which supports projecting coordinates between coordinate reference systems (CRSes), compatible with PyProj.'
ghlink: https://github.com/rapidsai/cuspatial/tree/main/python/cuproj
cllink: https://github.com/rapidsai/cuspatial/blob/main/CHANGELOG.md # cuProj is housed within cuSpatial so updates remain in the cuSpatial changelog
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cusignal:
name: cusignal
path: cusignal
desc: 'cuSignal functionality has been moved to CuPy. Please see the CuPy documentation for more information.'
ghlink: https://github.com/cupy/cupy
cllink: https://docs.cupy.dev/en/latest/reference/scipy_signal.html
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 0
stable: 0
nightly: 0
cudf-java:
name: 'Java + cuDF'
path: cudf-java
desc: 'Java bindings for the cuDF library.'
ghlink: https://github.com/rapidsai/cudf/tree/main/java
cllink: https://github.com/rapidsai/cudf/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 0
cucim:
name: cuCIM
path: cucim
desc: 'The RAPIDS cuCIM is an extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging.'
ghlink: https://github.com/rapidsai/cucim
cllink: https://github.com/rapidsai/cucim/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
cuvs:
name: cuVS
path: cuvs
desc: 'cuVS is a library for GPU-accelerated vector search and clustering.'
ghlink: https://github.com/rapidsai/cuvs
cllink: https://github.com/rapidsai/cuvs/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
kvikio:
name: KvikIO
path: kvikio
desc: "KvikIO is a Python and C++ library for high performance file IO using GPUDirect Storage (GDS)."
ghlink: https://github.com/rapidsai/kvikio
cllink: https://github.com/rapidsai/kvikio/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
raft:
name: RAFT
path: raft
desc: "RAFT contains fundamental widely-used algorithms and primitives for vector search, machine learning, and information retrieval."
ghlink: https://github.com/rapidsai/raft
cllink: https://github.com/rapidsai/raft/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
dask-cuda:
name: Dask-CUDA
path: dask-cuda
desc: "Various utilities to improve deployment and management of Dask workers on CUDA-enabled systems."
ghlink: https://github.com/rapidsai/dask-cuda
cllink: https://github.com/rapidsai/dask-cuda/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
rmm:
name: RMM
path: rmm
desc: 'RAPIDS Memory Manager (RMM) is a central place for all device memory allocations in cuDF (C++ and Python) and other RAPIDS libraries. In addition, it is a replacement allocator for CUDA Device Memory (and CUDA Managed Memory) and a pool allocator to make CUDA device memory allocation / deallocation faster and asynchronous.'
ghlink: https://github.com/rapidsai/rmm
cllink: https://github.com/rapidsai/rmm/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
# RAPIDS "Libs" - lower-level libraries that are building blocks for creating
# custom tools and integrate with other libraries
libs:
libcudf:
name: libcudf
path: libcudf
desc: 'libcudf is a C/C++ CUDA library for implementing standard dataframe operations.'
ghlink: https://github.com/rapidsai/cudf
cllink: https://github.com/rapidsai/cudf/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
libcuspatial:
name: libcuspatial
path: libcuspatial
desc: 'libcuspatial is a GPU-accelerated header-only C++ vector GIS library including binary predicates (DE-9IM), point-in-polygon, spatial join, distances, and trajectory analysis.'
ghlink: https://github.com/rapidsai/cuspatial
cllink: https://github.com/rapidsai/cuspatial/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
libcuproj:
name: libcuproj
path: libcuproj
desc: 'libcuproj is a C++ header-only library for GPU-accelerated geographic and geodetic coordinate transformation library which supports projecting coordinates between coordinate reference systems (CRSes), similar to PROJ.'
ghlink: https://github.com/rapidsai/cuspatial/tree/main/cpp/cuproj
cllink: https://github.com/rapidsai/cuspatial/blob/main/CHANGELOG.md # Shares a changelog with cuSpatial
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
libcuml:
name: libcuml
path: libcuml
desc: 'libcuml is a C/C++ CUDA library for cuML.'
ghlink: https://github.com/rapidsai/cuml
cllink: https://github.com/rapidsai/cuml/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
libkvikio:
name: libkvikio
path: libkvikio
desc: "libkvikio is a C++ header-only library providing bindings to cuFile, which enables GPUDirect Storage (GDS)."
ghlink: https://github.com/rapidsai/kvikio
cllink: https://github.com/rapidsai/kvikio/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
libucxx:
name: libucxx
path: libucxx
desc: "UCXX is an object-oriented C++ interface for UCX, with native support for Python bindings."
ghlink: https://github.com/rapidsai/ucxx
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1
rapids-cmake:
name: rapids-cmake
path: rapids-cmake
desc: "This is a collection of CMake modules that are useful for all CUDA RAPIDS projects. By sharing the code in a single place it makes rolling out CMake fixes easier."
ghlink: https://github.com/rapidsai/rapids-cmake
cllink: https://github.com/rapidsai/rapids-cmake/blob/main/CHANGELOG.md
versions:
# enable or disable links; 0 = disabled, 1 = enabled
legacy: 1
stable: 1
nightly: 1