Operations Research Python Packages

ortools

Google's Operations Research tools:

nextmv

Python SDKs for Nextmv

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.

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.

cspy

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

alns

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

rl4co

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

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.

stockpyl

Python inventory optimization and simulation tools.

pyjobshop

Solve production scheduling problems with constraint programming in Python.

greyjack

GreyJack Solver is a constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars. It empowers you to tackle a wide array of constraint optimization problems, including continuous, integer, and mixed-integer challenges with ease and efficiency.

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.

pymaro

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

moptipyapps

Applications of Metaheuristic Optimization in Python

orloge

OR log extractor

benderslib

A Benders Decomposition Library in Python

s2mflow

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

dddex

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

simulatte

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

jinete

High Performance solving suite for the Pickup and Delivery Problem and its related extensions.

m4opt

Multi-Mission Multi-Messenger Observation Planning Toolkit