| Package Name | Access | Summary | Updated |
|---|---|---|---|
| dask-cudf | public | Utilities for Dask and cuDF interactions | 2026-01-27 |
| custreamz | public | cuStreamz - GPU Accelerated Streaming | 2026-01-27 |
| cudf-polars | public | Executor for polars using cudf | 2026-01-27 |
| pylibcudf | public | pylibcudf - Python bindings for libcudf | 2026-01-27 |
| cudf_kafka | public | cuDF Kafka Datasource | 2026-01-27 |
| cudf | public | cuDF - GPU Dataframe | 2026-01-27 |
| libcudf_kafka | public | libcudf_kafka library | 2026-01-27 |
| libcudf-tests | public | libcudf test & benchmark executables | 2026-01-27 |
| libcudf-example | public | libcudf example executables | 2026-01-27 |
| libcudf | public | cuDF - GPU Dataframe (C++) | 2026-01-27 |
| pylibwholegraph | public | pylibwholegraph - GPU Graph Storage for GNN feature and graph structure | 2026-01-27 |
| cugraph-pyg | public | cugraph-pyg - PyG support for cuGraph massive-scale, ultra-fast GPU graph analytics. | 2026-01-27 |
| libwholegraph-tests | public | libwholegraph tests | 2026-01-27 |
| libwholegraph | public | libwholegraph library | 2026-01-27 |
| cuml | public | cuML - RAPIDS ML Algorithms | 2026-01-27 |
| libcuml-tests | public | libcuml test & benchmark executables | 2026-01-27 |
| libcuml | public | cuML - RAPIDS ML Algorithms (C++) | 2026-01-27 |
| cucim | public | cucim Python package | 2026-01-27 |
| rapidsmpf | public | Multi-GPU and distributed-memory algorithms | 2026-01-27 |
| libcucim | public | libcucim C++ library | 2026-01-27 |
| librapidsmpf-tests | public | librapidsmpf test executables | 2026-01-27 |
| librapidsmpf | public | Multi-GPU and distributed-memory algorithms | 2026-01-27 |
| rapids-xgboost | public | RAPIDS Suite - Open GPU Data Science | 2026-01-27 |
| rapids | public | RAPIDS Suite - Open GPU Data Science | 2026-01-27 |
| nx-cugraph | public | cugraph backend for NetworkX | 2026-01-27 |
