Operations Research Python Packages

ortools

Google's Operations Research tools:

pyjobshop

Solve production scheduling problems with constraint programming in Python.

fjsplib

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

vrplib

Python package to read and write vehicle routing problem instances.

pyvrp

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

solvor

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

luna-model

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

nextmv

Python SDKs for Nextmv

pyworkforce

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

cspy

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

mipster

MIPster — a lightweight, streamlined Mixed-Integer Programming solver forked from COIN-OR CBC

alns

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

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.

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.

s2mflow

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

greyjack

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

stockpyl

Python inventory optimization and simulation tools.

rl4co

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

moptipyapps

Applications of Metaheuristic Optimization in Python

orloge

log parser for MIP and LP solvers

simulatte

Discrete-event simulation framework for job-shop scheduling and intralogistics in Python

certflow

Certified route planning under drifting costs: conformal certificates (LB<=OPT<=UB), certificate-directed sensing, proof-gated ns-us preprocessing, and an observable-coverage layer (WATCH + Shiryaev-Roberts). 250 tests, validated on real METR-LA.

pymaro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

dddex

The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density