{"library":"pyscipopt","type":"library","category":null,"description":"PySCIPOpt is a Python interface and modeling environment for the SCIP Optimization Suite, a powerful mixed-integer programming (MIP) and mixed-integer nonlinear programming (MINLP) solver. It allows users to formulate and solve optimization problems using Python syntax. The library is actively maintained with frequent releases, often coinciding with new major versions of the underlying SCIP solver.","language":"python","status":"active","version":"6.1.0","tags":["optimization","mathematical programming","MILP","MINLP","solver","SCIP"],"install":[{"cmd":"pip install pyscipopt","imports":["from pyscipopt import Model"]},{"cmd":"conda install -c conda-forge pyscipopt","imports":[]}],"homepage":"https://scipopt.org","github":"https://github.com/SCIP-Interfaces/PySCIPOpt","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pyscipopt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":4.2,"avg_import_s":0.29,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pyscipopt/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}