Dev tools · alternatives · 2026

24 alternatives to Portable matrix multiplication library

Portable matrix multiplication library in C. Contribute to webDva/matrixmul development by creating an account on GitHub.

Portable Matrix Multiplication Library is a software tool designed for performing matrix multiplication operations across different platforms and systems. It serves developers and researchers who need efficient matrix… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Portable matrix multiplication library launched in 2018; newer entries below may have overtaken it.

1
Matrix Multiplication with Half the Multiplications▲310
Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
2024 · github.com · its alternatives →
2
Matrix-CRDT – real-time collaborative apps using Matrix as backend▲320
Hi HN! Matrix-CRDT connects the worlds of Yjs [1] (a proven, high performance CRDT) with that of Matrix.org [2]. It started as an experiment, asking myself; can we store "state updates of a datastore" in Matrix instead of chat messages? Now, I'm convinced it's actually a really powerful combination to develop real-time, collaborative software. I'm using it for a new project and so far didn't have to write a backend yet. Matrix takes care of a lot of stuff: Authentication, E2EE, federation, hosting, etc. - so I can focus on the client. I love the ideas of Local First [3] software. Personally,…
2022 · github.com · its alternatives →
3
Matrix▲77
An open network for secure, decentralized communication
2019 · matrix.org · its alternatives →
4
Matrixprofile-ts – A Python library for timeseries motifs and discords▲95
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
5
MatrixEase▲83
A visualization and analysis tool for large matrix data
2022 · matrixease.com · its alternatives →
6
A portable hash map in C▲176
A small, portable, linear probing hash map. Contribute to e-dant/salmagundi development by creating an account on GitHub.
2024 · github.com · its alternatives →
7
High-Performance Wavelet Matrix for Python, Implemented in Rust▲93
I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!
Dec 2025 · pypi.org · its alternatives →
8
Stella Nera – Maddness Hardware Accelerator▲154
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator - joennlae/halutmatmul
2023 · github.com · its alternatives →
9
MatrixDS▲79
The data community's workbench
2018 · its alternatives →
10
A Fast, Malloc-Free C++14 Json Parser and Encoder▲98
Meta programming utilities for C++14. Merged in matt-42/lithium - matt-42/iod
2014 · github.com · its alternatives →
11
A hash array-mapped trie implementation in C▲171
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
12
Graph Processing with Postgres and GraphBLAS▲106
Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse
2019 · github.com · its alternatives →
13AL
A little notebook for learning linear algebra with Python▲190
2025 · little-book-of.github.io · its alternatives →
14
A dynamic C (Hot reloading) module-based Web Framework▲128
A modular web framework for C, inspired by kernel modules. Dynamically upload and compile C code at runtime to build REST APIs, WebSocket services, and more. Includes support for JSON (Jansson), SQLite, OpenSSL, and streaming large data efficiently. - joexbayer/c-web-modules
2024 · github.com · its alternatives →
15
I built a tensor library from scratch in C++/CUDA▲119
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
16
RaftLib – Easy, productive parallel programming in C++▲62
Simple, easy to use stream computation library for C++.
2016 · raftlib.io · its alternatives →
17
The Mat|r Project▲63
Open Source, Cloud-based, Application Development Platform
2019 · its alternatives →
18
Fast integer compression library in C▲45
A very fast scalar implementation for Frame Of Reference integer compression. - cruppstahl/libfor
2015 · github.com · its alternatives →
19AR
A RISC-V core in Racket▲122
2021 · guillaume.baierouge.fr · its alternatives →
20
Fahmatrix – A Lightweight, Pandas-Like DataFrame Library for Java▲46
Hey HN, I’ve built Fahmatrix, a minimal, fast Java library for working with tabular data — inspired by Python’s pandas, but designed for performance and simplicity on the JVM. After working extensively with Python’s data stack, I often ran into limitations related to speed, especially in larger or long-running data workflows. So I built Fahmatrix from scratch to offer similar APIs for manipulating CSVs, performing summary statistics, slicing rows/columns, and more — but all in Java. Features: Lightweight and dependency-free CSV/TSV import with auto-headers Series/DataFrame…
2025 · github.com · its alternatives →
21
A glib-like multi-platform C library▲48
🎁 A glib-like multi-platform c library. Contribute to tboox/tbox development by creating an account on GitHub.
2022 · github.com · its alternatives →
22HA
Hsdlib – A C Library for Vector Similarity with SIMD Acceleration▲38
Hsdlib is a small C library for fast vector distance and similarity calculations. At the moment, it supports: - Euclidean, Manhattan, and Hamming distances - Dot product, cosine, and Jaccard similarities Hsdlib uses SIMD acceleration (AVX, AVX2, AVX512, NEON, and SVE instructions) to speed things up. GitHub link: https://github.com/habedi/hsdlib
2025 · its alternatives →
23
C library for Linux to easily create modular projects▲56
C simple and elegant implementation of an actor library - GitHub - FedeDP/libmodule: C simple and elegant implementation of an actor library
2018 · github.com · its alternatives →
24DY
Did you know you can multiply matrices without multiplication?▲6
TL;DR: This idea implemented in Python https://gist.github.com/danbst/fdf604ae279f9e01c8a28f1f84f9876e Hello. Long time ago I have learned that log(xy) = log(x) + log(y) and that this was used by Napier to multiply numbers. Also I knew that matrix multiplication time is dominated by inner dot products, which use addition and multiplication. And it just stuck me today, that it is possible to multiply matrices in logarithmic space (that is, matrix values are logs of real values) without multiplication! By using same trick Napier did. (There are restrictions, as negative…
2023 · its alternatives →

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