Operations Research Python Packages

ortools

Google's Operations Research tools:

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.

nextmv

Python SDKs for Nextmv

pyjobshop

Solve production scheduling problems with constraint programming in Python.

fjsplib

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

solvor

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

cspy

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

pyworkforce

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

alns

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

rl4co

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

stockpyl

Python inventory optimization and simulation tools.

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.

s2mflow

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

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.

moptipyapps

Applications of Metaheuristic Optimization in Python

orloge

log parser for MIP and LP solvers

greyjack

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

hygese

A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

simulatte

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

pymaro

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

benderslib

A Benders Decomposition Library in Python

dddex

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

optyx

Intuitive symbolic interface for constrained optimization problems. Write natural Python, get automatic gradients and solvers.