{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"scs is a Python interface to the Splitting Conic Solver, a numerical solver for convex optimization problems expressed in conic form.","skillfed_tags":["optimization","convex-programming","numerical-solver"],"use_cases":["Solve semidefinite programming problems in machine learning and control theory applications","Optimize convex cone programs arising in portfolio optimization and financial modeling","Use as a backend solver in convex optimization frameworks that support conic interfaces","Prototype and validate convex formulations before deployment to production solvers","Research and development in optimization algorithms and convex geometry"],"what_it_does":"scs is a Python binding to the Splitting Conic Solver, a numerical library for solving convex optimization problems formulated as conic programs. It wraps the underlying C solver and exposes it through a Python API, accepting problem data in standard conic form (linear objective, affine constraints, and cone membership constraints) and returning solutions via the solver's splitting algorithm.\n\nThe package depends on numpy and scipy for numerical operations and is distributed as prebuilt wheels for modern Python versions on major platforms. It is suitable for applications requiring reliable convex optimization where problems naturally fit the conic framework.","worth_installing":"Yes, if you need a reliable conic solver for convex optimization. The package is stable (MIT licensed, no known vulnerabilities), has broad platform support via prebuilt wheels, and ranks in the top 5000 PyPI packages by download volume. The aging maintenance status is not a blocker if your use case fits the current feature set; verify that the solver's capabilities match your problem structure before committing."},"id":"scs","links":{"html":"https://skillfed.io/packages/scs","md":"https://skillfed.io/packages/scs.md","pypi":"https://pypi.org/project/scs/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-09","license_spdx":null,"license_treatment":"permissive","name":"scs","python_support":"supports_current","summary":"Splitting conic solver"},"popularity":{"monthly_downloads":4052573,"position":2389,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.2.11"}