Matrix Python Packages

matrix-nio

A Python Matrix client library, designed according to sans I/O (http://sans-io.readthedocs.io/) principles

mautrix

A Python 3 asyncio Matrix framework.

tabmat

Efficient matrix representations for working with tabular data

transformations

Homogeneous transformation matrices and quaternions.

pyglm

Fast OpenGL Mathematics (GLM) for Python

scikit-surprise

A Python scikit for building and analyzing recommender systems

synapse-s3-storage-provider

Synapse storage provider to fetch and store media in Amazon S3

pyrr

3D mathematical functions using NumPy

ansitable

Quick, easy and pretty display of tabular data or matrices, with optional ANSI color and borders

thewalrus

A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.

cloud-volume

Read and write Neuroglancer datasets programmatically.

matrix-utils

Utilities to build and iterate on matrices using datapackages

pymatsolver

Solve matrix equations in python.

pycm

Multi-class confusion matrix library in Python

pentapy

A Python toolbox for pentadiagonal linear systems

bvhio

Read, write, edit and create .bvh files with hierarchical 3D transforms

librapid

A high-performance library for arrays and numeric calculations

controlmesh

Runtime-first agent harness for official coding CLIs, chat transports, background tasks, and controlled write-back.

aris-lib

A mathematical computing library

matrix-sydent

Sydent: Reference Matrix Identity Server

mattress

Python interface to tatami representations

phg-vis

Coordinate transformations play a pivotal role in computer graphics, robotics, and the broader domains of mathematics and physics. This project introduces a novel computable coordinate system object that bridges the gap between theoretical frameworks and numerical computations.

cmsisdsp

CMSIS-DSP embedded compute library for Cortex-M and Cortex-A

pypynum

PyPyNum is a versatile Python math lib. It features modules for math, data analysis, arrays, crypto, physics, RNG, data proc, stats, eq solving, image proc, interp, matrix calc, and high-prec math. Designed for scientific computing, data science, and ML, it offers efficient, general-purpose tools.