cvxopt/cvxopt

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1039 stars · 220 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity stable

math machine-learning sdk mathematics data-science machine-learning python windows cross-platform 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

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