{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/15"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Python interface to the FICO Xpress Optimizer for creating and solving linear, quadratic, conic, and nonlinear optimization problems, including their mixed-integer variants.","skillfed_tags":["optimization-solver","mathematical-programming","proprietary-library"],"use_cases":["Solve supply chain optimization problems with integer constraints and large numbers of variables","Formulate and solve portfolio optimization or financial planning models with quadratic objectives","Prototype mixed-integer nonlinear programs for engineering design or resource allocation","Solve Linear Programming (LP), Quadratic Programming (QP), and Second-Order Conic Programming (SOCP) problems","Deploy optimization models on Linux, macOS, and Windows platforms with consistent behavior"],"what_it_does":"xpresslibs is a commercial mathematical optimization solver wrapped for Python, allowing you to define and solve optimization problems ranging from simple linear programs to complex mixed-integer nonlinear problems. You describe your problem using Python syntax\u2014defining variables with bounds and types, setting an objective function, and adding constraints\u2014then call optimize() to invoke the underlying FICO Xpress engine.\n\nThe package bundles the compiled Xpress Optimizer library itself, so installation includes native binaries for your platform rather than just Python code. It has no runtime Python dependencies, making it self-contained once installed. A community license is included free; commercial deployments or access to advanced solver features may require a paid FICO license.","worth_installing":"Yes, if you need to solve optimization problems and can accept a proprietary solver with a free community license tier. The package is actively maintained, has no Python dependency overhead, and runs on major platforms. Verify that the community license meets your use case and that your system can accommodate the compiled native libraries before committing to it in production."},"id":"xpresslibs","links":{"html":"https://skillfed.io/packages/xpresslibs","md":"https://skillfed.io/packages/xpresslibs.md","pypi":"https://pypi.org/project/xpresslibs/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-03","license_spdx":null,"license_treatment":"unclear","name":"xpresslibs","python_support":"unspecified","summary":"FICO Xpress Optimizer libraries"},"popularity":{"monthly_downloads":144717,"position":11145,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"9.9.1"}