{"id":31553584,"url":"https://github.com/felixleopoldo/benchpress","last_synced_at":"2025-10-04T20:26:51.673Z","repository":{"id":39907248,"uuid":"234086215","full_name":"felixleopoldo/benchpress","owner":"felixleopoldo","description":"Scalable open-source software to run, develop, and benchmark causal discovery algorithms","archived":false,"fork":false,"pushed_at":"2025-09-28T21:46:44.000Z","size":130529,"stargazers_count":72,"open_issues_count":24,"forks_count":20,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-09-28T23:24:38.351Z","etag":null,"topics":["bayesian-networks","benchmarking","causal-discovery","causal-models","causality","graphical-models","markov-networks","reproducible-research","snakemake-workflow","structure-learning"],"latest_commit_sha":null,"homepage":"https://benchpressdocs.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/felixleopoldo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-01-15T13:26:10.000Z","updated_at":"2025-09-28T21:46:47.000Z","dependencies_parsed_at":"2023-09-24T10:46:20.160Z","dependency_job_id":"a2cfdebf-bf6b-4c70-a855-0715b6320257","html_url":"https://github.com/felixleopoldo/benchpress","commit_stats":null,"previous_names":[],"tags_count":23,"template":false,"template_full_name":null,"purl":"pkg:github/felixleopoldo/benchpress","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felixleopoldo%2Fbenchpress","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felixleopoldo%2Fbenchpress/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felixleopoldo%2Fbenchpress/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felixleopoldo%2Fbenchpress/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/felixleopoldo","download_url":"https://codeload.github.com/felixleopoldo/benchpress/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felixleopoldo%2Fbenchpress/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278367974,"owners_count":25975364,"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","status":"online","status_checked_at":"2025-10-04T02:00:05.491Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["bayesian-networks","benchmarking","causal-discovery","causal-models","causality","graphical-models","markov-networks","reproducible-research","snakemake-workflow","structure-learning"],"created_at":"2025-10-04T20:26:49.448Z","updated_at":"2025-10-04T20:26:51.666Z","avatar_url":"https://github.com/felixleopoldo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003csnippet\u003e\n  \u003ccontent\u003e\n\n\n\u003cp align=\"left\"\u003e\n\u003ca href=\"https://benchpressdocs.readthedocs.io/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003e\n\u003cimg width=\"248\"  src=\"docs/source/_static/benchpress-logo-white-bg.png\" alt=\"Benchpress logo\"\u003e\n\u003c/a\u003e\n\u003c/p\u003e\n\n\n[![Snakemake](https://img.shields.io/badge/snakemake-≥7.30.1-brightgreen.svg)](https://snakemake.bitbucket.io)\n[![Documentation Status](https://readthedocs.org/projects/benchpressdocs/badge/?version=latest)](https://benchpressdocs.readthedocs.io/en/latest/?badge=latest)\n[![License: GPL v2](https://img.shields.io/badge/License-GPL%20v2-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html)\n\n---\n\nBenchpress [[1]](#1) is a [Snakemake](https://snakemake.readthedocs.io/en/stable/) workflow where structure learning (sometimes called causal discovery) algorithms, implemented in possibly different languages, can be executed and compared.\nThe computations scale seamlessly on multiple cores or *\"... to server, cluster, grid and cloud environments, without the need to modify the workflow definition\" - Snakemake*.\nThe documentation is found at https://benchpressdocs.readthedocs.io. \n\u003c!-- [This](https://benchpressdocs.readthedocs.io/en/latest/json_overview.html#evaluation) section shows an overview of the supported evaluation methods. --\u003e\n\nThe following main functionalities are provided by Benchpress \n\n* Benchmarks - Benchmark structure learning algorithms.\n* Algorithm development - Benchmark your own algorithm along with the existing ones while developing.\n* Data analysis - Estimate the underlying graph structure for your own dataset(s).\n\nYou may also have a look at [this Medium story](https://medium.com/@felixleopoldorios/structure-learning-using-benchpress-826847db0aa8) for an introduction.\n\n\n## Citing\n\n```\n@Article{Benchpress,\n    author = {Felix L. Rios and Giusi Moffa and Jack Kuipers},\n    title = {{Benchpress}: A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models},\n    journal = {Journal of Statistical Software},\n    year = {2025},\n    volume = {114},\n    number = {12},\n    pages = {1--43},\n    doi = {10.18637/jss.v114.i12}\n}\n\n```\n\n## Contact\n\nFor problems, bug reporting, or questions please raise an issue or open a discussion thread.\n\n## Contributing\nContributions are very welcomed. See [CONTRIBUTING.md](CONTRIBUTING.md) for instructions. \n\n1. Fork it!\n2. Create your feature branch: `git checkout -b my-new-feature`\n3. Commit your changes: `git commit -am 'Add some feature'`\n4. Push to the branch: `git push origin my-new-feature`\n5. Open a pull request\n\n## License\n\nThis project is licensed under the GPL-2.0 License - see the [LICENSE](LICENSE) file for details\n\n\u003c/content\u003e\n  \u003ctabTrigger\u003e\u003c/tabTrigger\u003e\n\u003c/snippet\u003e\n\n\n## References\n* \u003ca id=\"1\"\u003e[1]\u003c/a\u003e [Felix L. Rios and Giusi Moffa and Jack Kuipers Benchpress: A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models. *Journal of Statistical Software.*, 10.18637/jss.v114.i12, 2025.](https://doi.org/10.18637/jss.v114.i12)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffelixleopoldo%2Fbenchpress","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffelixleopoldo%2Fbenchpress","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffelixleopoldo%2Fbenchpress/lists"}