---
id: mosek
version: "11.2.2"
license: https://mosek.com/products/license-agreement
license_treatment: unclear
maintenance: active
---

# Mosek — Python API for Mosek

License: unclear · Maintenance: active · Downloads: 430.5K/mo

## What it is and what it does

MOSEK is a commercial optimization solver that handles a wide range of convex and mixed-integer problems through a Python interface. It supports linear programs (LP), quadratic programs (QP), second-order cone programs (SOCP), exponential and power cone problems, semidefinite programs (SDP), quadratically constrained quadratic programs (QCQP), and mixed-integer programs (MIP). The package wraps a compiled solver engine and requires numpy as its only runtime dependency.

Typically used in research, finance, engineering, and machine learning workflows where problem scale or numerical precision demands a commercial-grade solver. Requires Python 3.9 or later and a valid license (free trial and academic licenses available). Installation pulls precompiled binaries for common platforms, avoiding compilation overhead.

Use it for:

- Portfolio optimization and risk management in quantitative finance
- Large-scale machine learning problems requiring conic relaxations or semidefinite programming
- Engineering design optimization with convex constraints
- Operations research and resource allocation problems
- Academic research in convex optimization and mathematical programming

## Worth the install?

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

MOSEK solves large-scale convex and mixed-integer optimization problems including linear, quadratic, conic, and semidefinite programs via a Python API.

Yes, if you have a convex or mixed-integer optimization problem at scale and can obtain a MOSEK license (free trial available). The solver is mature, actively maintained, and supports a broad problem class. No, if you need an open-source solver or cannot accept the licensing requirement. Verify license terms for your use case before committing.

## Install

pip install mosek
uv add mosek
poetry add mosek

## Installing Mosek

Before you install: Medium install friction due to compiled binary wheels for multiple platforms (macOS ARM64, Linux x86_64 and aarch64, Windows x64). Active maintenance with a release 65 days ago. Single runtime dependency on numpy.

License in practice: License treatment is unclear; MOSEK requires a paid license, though trial and non-commercial academic licenses are available from the vendor. Verify licensing terms before production deployment.

Quickstart:

pip install mosek
import mosek
import numpy as np
# Requires valid MOSEK license; see https://www.mosek.com for trial/academic options

MOSEK requires a valid license (free trial and academic licenses available at https://www.mosek.com). Python 3.9 or later required.

Verify before relying:

- Whether trial or academic licenses are sufficient for your intended use case
- Performance characteristics and solver quality relative to open-source alternatives
- Support and SLA terms included with different license tiers

## Package facts

- License: https://mosek.com/products/license-agreement (unclear)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 430.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

convex optimization solver, linear programming Python, semidefinite programming, mixed-integer optimization, quadratic cone programming, large-scale optimization, SOCP solver, optimization, convex-programming, commercial-solver

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