{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"cvxopt is a Python library for solving convex optimization problems, providing algorithms and data structures for linear, quadratic, and semidefinite programming.","skillfed_tags":["optimization","convex-programming","numerical-computing"],"use_cases":["Solve linear and quadratic programming problems in operations research or portfolio optimization workflows.","Formulate and solve semidefinite programs for control theory, signal processing, or machine learning applications.","Prototype convex optimization algorithms in research where direct access to solver internals is needed.","Build optimization-based decision systems in academic or open-source projects where GPLv3 licensing is acceptable."],"what_it_does":"cvxopt is a mature Python package for solving convex optimization problems across linear, quadratic, and semidefinite programming domains. It provides low-level access to optimization algorithms and matrix data structures, making it suitable for researchers and practitioners who need fine-grained control over solver behavior and problem formulation.\n\nThe package is built on compiled C code for numerical performance and depends on standard linear algebra libraries (BLAS, LAPACK). It has no Python runtime dependencies, keeping the footprint minimal. The project is actively maintained, with recent commits and a stable API, though its GPLv3 license restricts use in proprietary closed-source applications.","worth_installing":"Yes, if you need convex optimization and accept GPLv3 licensing. The package is production-stable, actively maintained, and has no Python dependencies. Install friction is moderate due to compiled components, but prebuilt wheels cover common platforms. Not suitable for proprietary closed-source projects due to GPLv3 copyleft requirements."},"id":"cvxopt","links":{"html":"https://skillfed.io/packages/cvxopt","md":"https://skillfed.io/packages/cvxopt.md","pypi":"https://pypi.org/project/cvxopt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-09","license_spdx":null,"license_treatment":"unclear","name":"cvxopt","python_support":"supports_current","summary":"Convex optimization package"},"popularity":{"monthly_downloads":1311233,"position":4073,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.3.3"}