mip

What it is and what it does

Python MIP is a modeling and solving toolkit for mixed-integer linear programs, designed to make it easy to write optimization problems in Python using operator overloading and a high-level syntax. It communicates directly with native solver libraries via cffi, supporting both the open-source CBC solver and the commercial Gurobi solver with a single, solver-independent codebase.

The package provides advanced features like cut generation, lazy constraints, solution pools, and MIPStart heuristics for warm-starting searches. It requires Python 3.10 or newer and runs on CPython and PyPy. The main dependencies are cffi and cbcbox.

Use it for:

• Model and solve supply chain optimization, production scheduling, or resource allocation problems using a Pythonic syntax
• Implement branch-and-cut algorithms with custom cut generators and lazy constraint callbacks for large-scale MIPs
• Migrate optimization models from existing codebases by leveraging compatible syntax and solver-agnostic code
• Explore multiple near-optimal solutions via solution pools during MIP search
• Accelerate MIP model creation on PyPy for performance-critical applications

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Python MIP models and solves mixed-integer linear programs (MIPs) using a high-level syntax with support for advanced solver features like cut generation, lazy constraints, and solution pools.

Yes, if you need to model and solve mixed-integer linear programs in Python. The package is actively maintained, has low install friction, supports current Python versions, and offers a clean API with advanced solver features. The EPL-2.0 copyleft license requires compliance in derivative works. No known security vulnerabilities.

Install

mip on PyPI

pip install mip

uv add mip

poetry add mip

Installing mip

Before you install

Low install friction with a pure-wheel distribution. The package is actively maintained (last commit 2026-06-09) and in production-stable status. Runtime depends on cffi and cbcbox.

License in practice

Licensed under Eclipse Public License 2.0 (EPL-2.0), a copyleft license. You may use and modify the package freely, but derivative works and distributions must carry the same license terms and include a copy of the EPL-2.0 agreement.

Quickstart

pip install mip
from mip import Model, xsum, BINARY
m = Model()
x = [m.add_var(var_type=BINARY) for _ in range(10)]
m.objective = xsum(x)
m.optimize()

Requires Python 3.10 or newer; cbcbox solver dependency must be available

Verify before relying

• Whether cbcbox is automatically installed or requires separate system-level solver setup
• Performance comparison claims and their test conditions
• Compatibility with Gurobi solver integration beyond CBC

Package facts

Evidence: mip-1.17.6-py3-none-any.whl

Keywords: Optimization, Linear Programming, Integer Programming, Operations Research

Tags

More Mathematics packages