RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.

Library for computing Gröbner Basis in .NET. Includes sample application that checks if a given graph is k-colorable using the API.

A fast program for computing Groebner bases

Gröbner's Incompleteness Algorithm using a Graded Lexicographic Order (grlex), S-Polynomials & Buchberger's Algorithm — Showcasing x, y Variables, Cox, Little & O'Shea (x, y, z) & Katsura-3's System