Operations Research Python Packages

ortools

Google's Operations Research tools:

orloge

log parser for MIP and LP solvers

pyvrp

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

vrplib

Python package to read and write vehicle routing problem instances.

luna-model

LunaModel: Fast, symbolic modeling for optimization. Build, translate, and transform optimization models.

solvor

Optimization solvers in pure Python: LP, MILP, SAT, constraint programming, graph and metaheuristics. No dependencies. Solvor all your optimization needs.

pyworkforce

Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.

alns

Adaptive large neighbourhood search (and more!) in Python.

nextmv

Python SDKs for Nextmv

m4opt

Multi-Mission Multi-Messenger Observation Planning Toolkit

cspy

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

timefold

The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

fjsplib

Python package to read and write instances for the flexible job shop problem.

pyjobshop

Solve production scheduling problems with constraint programming in Python.

greyjack

GreyJack Solver is a "jack of all trades" constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars

mdplib

Fast solvers for infinite-horizon discounted Markov Decision Processes (value iteration, Gauss-Seidel VI, policy iteration, Q-learning, SARSA) with a C++/pybind11 backend.

s2mflow

Meta-generator: generating multicommodity flow instances from single-commodity flow instances.

auto-mdp-solver

Formalize a verbal dynamic-decision problem into an MDP, then train and interpret a deployable RL policy — as Claude Code skills with executable gates between stages

stockpyl

Python inventory optimization and simulation tools.

annealbridge

Optimization middleware for AI agents — describe the problem as JSON, get verified, ranked solutions over MCP, CLI or Python.

moptipyapps

Applications of Metaheuristic Optimization in Python

simulsi

A general-purpose, reproducible simulation and scenario experimentation framework for Python.

flatland-rl

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

rl4co

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)