---
id: mip
version: "1.17.6"
license: Eclipse Public License - v 2.0 THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS ECLIPSE PUBLIC LICENSE ("AGREEMENT"). ANY USE, REPRODUCTION OR DISTRIBUTION OF THE PROGRAM CONSTITUTES… (full text in the JSON record)
license_treatment: copyleft
maintenance: active
---

# mip — Python tools for Modeling and Solving Mixed-Integer Linear Programs (MIPs)

License: copyleft · Maintenance: active · Downloads: 605.1K/mo

## 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 above — 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

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

- License: Eclipse Public License - v 2.0 THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS ECLIPSE PUBLIC LICENSE ("AGREEMENT"). ANY USE, REPRODUCTION OR DISTRIBUTION OF THE PROGRAM CONSTITUTES… (full text in the JSON record) (copyleft)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 605.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

mixed integer linear programming, MIP solver python, linear optimization modeling, integer programming library, branch and cut solver, mathematical optimization python, constraint programming, optimization, operations-research, solver-integration

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