Skip to content

jpintar/rapids_singlecell

 
 

Repository files navigation

Stars PyPI Downloads Documentation Status CI-Pass codecov Chat

rapids-singlecell: GPU-Accelerated Single-Cell Analysis within scverse®

rapids-singlecell provides GPU-accelerated single-cell analysis with an AnnData-first API. It is largely compatible with Scanpy and includes selected functionality from Squidpy, decoupler, and pertpy. Computations use CuPy and NVIDIA RAPIDS for performance on large datasets.

  • GPU acceleration: Common single-cell workflows on AnnData run on the GPU.
  • Ecosystem compatibility: Works with Scanpy APIs; includes pieces from Squidpy, decoupler, and pertpy.
  • Simple installation: Available via Conda and PyPI.

Documentation

For more information please have a look through the documentation

Citation

If you use this tool, please cite: arXiv

Please cite the relevant tools if used: decoupler for decoupler functions, squidpy for spatial analysis, and pertpy for perturbation analysis.

rapids-singlecell is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS. If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

About

Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 75.4%
  • Cuda 23.7%
  • Other 0.9%