Blas Python Packages

blis

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

simsimd

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

numkong

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

findblas

Python module for finding available BLAS libraries in the system and linking wrapped C/C++ or FORTRAN code to it

crival

Floating-point results that are the same bits on every machine: correctly rounded sums and matrix products, neural-network primitives with one answer, the normal distribution, verified linear algebra, correctly rounded fixed-point functions, FP8 and MX math, interval functions, and tools that find machine-dependent results

scikit-cuda

Python interface to GPU-powered libraries

blaster-python

Fast lattice reduction using segmentation, multithreading, Seysen reduction and BLAS

trnblas

BLAS Levels 1–3 for AWS Trainium via NKI (cuBLAS-equivalent) — GEMM with stationary-tile reuse, batched GEMM, TRSM, validated DF-MP2 for quantum chemistry.

pyclblast

Tuned OpenCL BLAS

linnea

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.