{"id":29016305,"url":"https://github.com/karrlab/conv_opt","last_synced_at":"2025-06-25T22:07:57.105Z","repository":{"id":62564739,"uuid":"111586766","full_name":"KarrLab/conv_opt","owner":"KarrLab","description":"Python package for linear and quadratic programming","archived":false,"fork":false,"pushed_at":"2021-05-28T16:45:54.000Z","size":170,"stargazers_count":9,"open_issues_count":2,"forks_count":2,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-05-23T11:32:34.383Z","etag":null,"topics":["convex-optimization","linear-programming","python","quadratic-programming"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/KarrLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-11-21T18:34:02.000Z","updated_at":"2021-08-22T21:23:54.000Z","dependencies_parsed_at":"2022-11-03T16:46:02.490Z","dependency_job_id":null,"html_url":"https://github.com/KarrLab/conv_opt","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/KarrLab/conv_opt","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarrLab%2Fconv_opt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarrLab%2Fconv_opt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarrLab%2Fconv_opt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarrLab%2Fconv_opt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KarrLab","download_url":"https://codeload.github.com/KarrLab/conv_opt/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarrLab%2Fconv_opt/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261960460,"owners_count":23236575,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["convex-optimization","linear-programming","python","quadratic-programming"],"created_at":"2025-06-25T22:07:56.059Z","updated_at":"2025-06-25T22:07:57.077Z","avatar_url":"https://github.com/KarrLab.png","language":"Python","readme":"[![PyPI package](https://img.shields.io/pypi/v/conv_opt.svg)](https://pypi.python.org/pypi/conv_opt)\n[![Documentation](https://readthedocs.org/projects/conv-opt/badge/?version=latest)](http://docs.karrlab.org/conv_opt)\n[![Test results](https://circleci.com/gh/KarrLab/conv_opt.svg?style=shield)](https://circleci.com/gh/KarrLab/conv_opt)\n[![Test coverage](https://coveralls.io/repos/github/KarrLab/conv_opt/badge.svg)](https://coveralls.io/github/KarrLab/conv_opt)\n[![Code analysis](https://api.codeclimate.com/v1/badges/f61deab196a9dbf42555/maintainability)](https://codeclimate.com/github/KarrLab/conv_opt)\n[![License](https://img.shields.io/github/license/KarrLab/conv_opt.svg)](LICENSE)\n![Analytics](https://ga-beacon.appspot.com/UA-86759801-1/conv_opt/README.md?pixel)\n\n# conv_opt\n\n`conv_opt` is a high-level Python package for solving linear and quadratic optimization problems using\nmultiple open-source and commercials solvers including [Cbc](https://projects.coin-or.org/cbc),\n[CVXOPT](http://cvxopt.org), [FICO XPRESS](http://www.fico.com/en/products/fico-xpress-optimization),\n[GLPK](https://www.gnu.org/software/glpk), [Gurobi](http://www.gurobi.com/products/gurobi-optimizer),\n[IBM CPLEX](https://www-01.ibm.com/software/commerce/optimization/cplex-optimizer),\n[MINOS](https://web.stanford.edu/group/SOL/minos.htm),\n[Mosek](https://www.mosek.com), [quadprog](https://github.com/rmcgibbo/quadprog),\n[SciPy](https://docs.scipy.org), and [SoPlex](http://soplex.zib.de).\n\n## Installation\n\n1. Install Python and pip\n2. Optionally, install the Cbc/CyLP, FICO XPRESS, IBM CPLEX, Gurobi, MINOS, Mosek, and SoPlex solvers. Please see our detailed [instructions](http://docs.karrlab.org/intro_to_wc_modeling/latest/installation.html).\n3. Install this package.\n\n    * Install the latest release from PyPI:\n      ```\n      pip install conv_opt\n      ```\n\n    * Install the latest revision from GitHub:\n      ```\n      pip install git+https://github.com/KarrLab/conv_opt.git#egg=conv_opt\n      ```\n\n    * Support for the optional solvers can be installed using the following options:\n      ```\n      pip install conv_opt[cbc,cplex,gurobi,minos,mosek,soplex,xpress]\n      ```\n\n## Documentation\nPlease see the [API documentation](http://docs.karrlab.org/conv_opt).\n\n## License\nThe build utilities are released under the [MIT license](LICENSE).\n\n## Development team\nThis package was developed by the [Karr Lab](http://www.karrlab.org) at the Icahn School of Medicine at Mount Sinai in New York, USA.\n\n## Questions and comments\nPlease contact the [Karr Lab](http://www.karrlab.org) with any questions or comments.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarrlab%2Fconv_opt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkarrlab%2Fconv_opt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarrlab%2Fconv_opt/lists"}