# cvxopt/cvxopt

CVXOPT -- Python Software for Convex Optimization

Repository: https://github.com/cvxopt/cvxopt
Canonical: https://ross.abutalabs.com/products/cvxopt
Homepage: https://cvxopt.org
Language: C
License: NOASSERTION
License Family: other
Last push: 2026-03-02T19:44:31+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 37, longevity 100
- inputs: {"age_days": 4940, "days_push": 184, "days_rel": 205, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1039, forks 220 (observed 2026-08-28T04:03:20.059309+00:00)

## What it is
CVXOPT is a free Python package for convex optimization, providing dense and sparse matrix classes, interfaces to BLAS/LAPACK/FFTW, and solvers for linear, quadratic, second-order cone, semidefinite, and nonlinear convex programming. It is implemented in C with Python extension modules and serves as a solver backend for modeling tools like CVXPY.

## Use cases
- solve linear programming problems in python
- solve quadratic programs from python
- semidefinite programming solver
- second-order cone programming
- sparse matrix linear algebra in python
- convex optimization solver backend for cvxpy
- nonlinear convex optimization

## When to choose
- you need a mature, GPL-licensed convex optimization solver callable from Python
- you need cone programming (SOCP/SDP) solvers with sparse matrix support
- you want a solver backend for CVXPY or custom interior-point solvers

## When to avoid
- your project requires a permissive license (CVXOPT is GPL)
- you need general nonconvex optimization or global optimization
- you prefer a pure-Python or modeling-first interface rather than a low-level solver

## Facets
- artifact type: library
- maturity: stable
- function: math, machine-learning, sdk
- domain: mathematics, data-science, machine-learning
- platform: python, windows, cross-platform
- tags: convex-optimization, linear-programming, quadratic-programming, semidefinite-programming, second-order-cone-programming, sparse-matrices, blas, lapack, interior-point-methods, glpk, mosek, numerical-computing, algorithms, linux, macos

## Member repositories
- cvxopt/cvxopt (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.059309+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:03:35.866727+00:00, confidence not recorded.
  - readme: https://github.com/cvxopt/cvxopt (fetched 2026-08-28T04:03:20.059309+00:00, sha 58af42371685)
  - homepage: https://cvxopt.org (fetched 2026-08-29T13:04:34.128943+00:00, sha 3de05bf4a7c5)
  - site_page: https://cvxopt.org/install/index.html (fetched 2026-08-29T13:04:34.138044+00:00, sha 58296b315191)
  - site_page: https://cvxopt.org/documentation/index.html (fetched 2026-08-29T13:04:34.140142+00:00, sha 12ac45abd302)
- Data as of 2026-08-30T08:39:29.467469+00:00.