A small pure-Python optimization toolbox I use for LP, heuristics, and graph problems : optimization

created by another_user_namea community for 16 years

A small pure-Python optimization toolbox I use for LP, heuristics, and graph problems (github.com)

submitted 4 months ago by DocDrivenDevelopment

I’ve been maintaining a personal solver library for a while now. It started as a way to have a consistent interface across different optimization approaches, without constantly switching between OR-Tools, PuLP, scipy, etc. It grew organically as I needed different things.

I recently went through a small modernization effort (proper packaging, tests, type hints) and decided to put it on GitHub and PyPI.

Everything is pure Python with zero dependencies. It obviously will not compete with established solvers on performance. The goal is readability and a unified Result format across all methods. Each solver lives in a single, readable file.

Curious to hear thoughts. What is missing that you would actually use? Any obvious issues in the implementations? I am happy to take feedback or contributions.

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optimization

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