---
id: cbcbox
version: "2.931"
license: EPL-2.0
license_treatment: copyleft
maintenance: active
---

# cbcbox — Binary distribution of the CBC MILP solver (COIN-OR Branch and Cut)

License: copyleft · Maintenance: active · Downloads: 150.6K/mo

## What it is and what it does

cbcbox packages the COIN-OR CBC branch-and-cut solver as a ready-to-use Python wheel, eliminating the need to compile or install system libraries. It solves mixed-integer linear programs (MILPs) and linear programs (LPs) via command-line or programmatic Python interface, with support for LP, MPS, and compressed MPS file formats.

The package ships with two complete solver stacks on x86_64 platforms: a Haswell-optimized build using AVX2 instructions for maximum speed (approximately 2.8× faster on average) and a generic build with runtime CPU dispatch for compatibility with any x86_64 machine. All dependencies—OpenBLAS, libgfortran, SuiteSparse AMD—are bundled. Parallel branch-and-cut is enabled, allowing multi-threaded search tree exploration. The barrier solver includes AMD fill-reducing ordering for improved performance on large sparse problems.

Use it for:

- Solve production MILP instances without managing a separate CBC installation or system dependencies.
- Benchmark or prototype optimization algorithms using CBC as the underlying solver engine.
- Distribute optimization-based applications to end users without requiring them to compile or configure solvers.
- Use parallel branch-and-cut to accelerate hard MIP instances on multi-core machines.
- Leverage barrier + AMD Cholesky for faster LP relaxation solving on large sparse problems.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

cbcbox is a self-contained Python distribution of the CBC MILP solver, providing optimized branch-and-cut solving for mixed-integer linear programs via command-line or Python API.

Yes. cbcbox is actively maintained (last release 1 day old), has no known vulnerabilities, and solves a real problem—providing a production-ready MILP solver without compilation or system library friction. The EPL-2.0 copyleft license is standard for COIN-OR and poses no barrier for non-commercial or proprietary use of the package as-is. Install it if you need to solve integer or linear programs and want a self-contained, cross-platform distribution.

## Install

pip install cbcbox
uv add cbcbox
poetry add cbcbox

## Installing cbcbox

Before you install: Installation is straightforward via pip with no runtime dependencies to manage. The package ships pre-built wheels for x86_64 and ARM platforms with all dynamic dependencies (OpenBLAS, libgfortran) bundled. Medium install friction reflects the wheel size and platform-specific binary selection, but no compilation or system library setup is required.

License in practice: Licensed under EPL-2.0 (copyleft). Users must comply with copyleft obligations if they modify or redistribute the package; proprietary applications using cbcbox as-is without modification face no additional licensing burden, but derivative works must remain open-source under compatible terms.

Quickstart:

pip install cbcbox

import cbcbox
import subprocess

result = subprocess.run(
    [cbcbox.cbc_bin_path(), "model.mps", "-solve", "-quit"],
    capture_output=True, text=True
)
print(result.stdout)

Requires Python 3.8 or later. On x86_64 systems, the package automatically selects an AVX2-optimized binary if the CPU supports it; otherwise falls back to a generic build. Can be overridden via CBCBOX_BUILD environment variable.

Verify before relying:

- Whether the automatic CPU dispatch at import time has measurable overhead or latency impact in practice.
- Performance characteristics of parallel branch-and-cut on specific problem classes or hardware configurations.
- Stability and maturity of the barrier (interior-point) solver with AMD Cholesky on large sparse problems.

## Package facts

- License: EPL-2.0 (copyleft)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 150.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

MILP solver Python, branch and cut optimization, mixed-integer linear programming, CBC solver distribution, COIN-OR solver, integer programming solver, optimization solver wheel, optimization, solver, milp

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