{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Highspy is a Python wrapper around HiGHS, a high-performance solver for linear programming (LP), convex quadratic programming (QP), and mixed-integer programming (MIP) problems.","skillfed_tags":["optimization","linear-programming","solver"],"use_cases":["Solve linear programming problems such as resource allocation, production planning, or network flow optimization","Handle mixed-integer programming for discrete optimization tasks like scheduling or facility location","Solve convex quadratic programming problems in portfolio optimization or machine learning applications","Integrate optimization into Python data science workflows alongside numpy and pandas","Prototype optimization models quickly without switching to specialized modeling languages"],"what_it_does":"Highspy provides a thin Python interface to HiGHS, a C++ optimization solver that handles linear, quadratic, and mixed-integer programming problems. It wraps the core solver functionality via pybind11, allowing Python developers to formulate and solve optimization models without writing C++ code. The package depends on numpy for numerical operations and typing_extensions for type hints.\n\nThe solver implements primal and dual revised simplex algorithms for LP, an interior-point method for LP, an active-set method for QP, and a branch-and-bound approach for MIP. It is designed for large-scale sparse problems and supports both serial and parallel execution. No third-party solver dependencies are required\u2014HiGHS is self-contained.","worth_installing":"Yes. Highspy is actively maintained, widely used (top 5000 PyPI packages), has no known vulnerabilities, and offers a permissive MIT license. Medium install friction is typical for compiled solvers. Install it if you need to solve LP, QP, or MIP problems in Python and want a self-contained, dependency-light solver."},"id":"highspy","links":{"html":"https://skillfed.io/packages/highspy","md":"https://skillfed.io/packages/highspy.md","pypi":"https://pypi.org/project/highspy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-02","license_spdx":"MIT","license_treatment":"permissive","name":"highspy","python_support":"supports_current","summary":"A thin set of pybind11 wrappers to HiGHS"},"popularity":{"monthly_downloads":3622175,"position":2554,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.15.1"}