GPU Accelerated Backend for NetworkX

NVIDIA Math Libraries for the Python Ecosystem

Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.

Scalable data pre processing and curation toolkit for LLMs

Scalable genetics toolkit

Deploy Dask on job schedulers like PBS, SLURM, and SGE

CompuCell3D public source code repository

A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML

KvikIO - High Performance File IO

Experimental repo for proposals of future work

A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.

SciPy library main repository

A repository for discussing duck array hierarchies with Python

CUDA Python: Performance meets Productivity

Build environments for various dask related projects on gpuCI

Apache DataFusion SQL Query Engine

CUDA-accelerated GIS and spatiotemporal algorithms

Cinder is Meta's internal performance-oriented production version of CPython.

An Aspiring Drop-In Replacement for Pandas at Scale

cuCIM - RAPIDS GPU-accelerated image processing library

Utilities for Dask and CUDA interactions

⚡️ An efficient cache for the execution of dask graphs.

Distributed SQL Engine in Python using Dask

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

General purpose, language-agnostic Continuous Benchmarking (CB) framework

NumPy aware dynamic Python compiler using LLVM