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Rapids Python Packages

Python packages with the GitHub topic rapids. Sorted by monthly downloads, with stars and forks.
NVIDIA
libcudf-cu12

cuDF - GPU DataFrame Library

243K 10K 1K
NVIDIA
cudf-cu12

cuDF - GPU DataFrame Library

230K 10K 1K
NVIDIA
pylibcudf-cu12

cuDF - GPU DataFrame Library

227K 10K 1K
NVIDIA
dask-cudf-cu12

cuDF - GPU DataFrame Library

46K 10K 1K
rapidsai
libcugraph-cu12

cuGraph - RAPIDS Graph Analytics Library

45K 2K 368
rapidsai
pylibcugraph-cu12

cuGraph - RAPIDS Graph Analytics Library

45K 2K 368
NVIDIA
libcudf-cu13

cuDF - GPU DataFrame Library

20K 10K 1K
NVIDIA
pylibcudf-cu13

cuDF - GPU DataFrame Library

20K 10K 1K
NVIDIA
cudf-polars-cu12

cuDF - GPU DataFrame Library

20K 10K 1K
NVIDIA
cudf-cu13

cuDF - GPU DataFrame Library

15K 10K 1K
graphistry
graphistry

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

14K 3K 229
rapidsai
pylibcugraph-cu13

cuGraph - RAPIDS Graph Analytics Library

9K 2K 368
rapidsai
libcugraph-cu13

cuGraph - RAPIDS Graph Analytics Library

9K 2K 368
NVIDIA
cudf-streaming-cu12

cuDF - GPU DataFrame Library

3K 10K 1K
NVIDIA
libcudf-streaming-cu12

cuDF - GPU DataFrame Library

3K 10K 1K
rapidsai
cugraph-cu12

cuGraph - RAPIDS Graph Analytics Library

2K 2K 368
rapidsai
cugraph-cu13

cuGraph - RAPIDS Graph Analytics Library

2K 2K 368
NVIDIA
dask-cudf-cu13

cuDF - GPU DataFrame Library

2K 10K 1K
narcotic-sh
senko

Very fast, accurate speaker diarization

2K 308 28
rapidsai
cudf-cu11

cuDF - GPU DataFrame Library

1K 10K 1K
rapidsai
nx-cugraph-cu12

GPU Accelerated Backend for NetworkX

751 116 40
rapidsai
dask-cudf-cu11

cuDF - GPU DataFrame Library

717 10K 1K
DerwenAI
kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

712 694 74
rapidsai
pylibcudf-cu11

cuDF - GPU DataFrame Library

665 10K 1K
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology