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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 📐

sparse-dot-mkl

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

trnblas

BLAS operations for AWS Trainium via NKI

structlinks

Easily Access and visualize different Data structures including Linked lists, Doubly Linked lists, Binary trees, Graphs, Stacks, Queues, and Matrices.

pyclblast

Tuned OpenCL BLAS

sparsecootensormulpytorch

Pytorch based sparse coo tensor multiplication (returns same elements with torch.matmul function but returns torch.tensor)

levi-edge

Drop-in small-matrix acceleration for PyTorch on edge devices

pytrix

Python matrix DAO implemented in C