{"id":13504861,"url":"https://github.com/e2nIEE/pandapower","last_synced_at":"2025-03-29T22:31:10.772Z","repository":{"id":37742864,"uuid":"78748060","full_name":"e2nIEE/pandapower","owner":"e2nIEE","description":"Convenient Power System Modelling and Analysis based on PYPOWER and pandas","archived":false,"fork":false,"pushed_at":"2024-10-16T14:05:01.000Z","size":619306,"stargazers_count":863,"open_issues_count":244,"forks_count":481,"subscribers_count":50,"default_branch":"develop","last_synced_at":"2024-10-29T22:57:35.846Z","etag":null,"topics":["analysis","loadflow","optimization","power","powerflow","python","short-circuit","state-estimation","system"],"latest_commit_sha":null,"homepage":"https://www.pandapower.org","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/e2nIEE.png","metadata":{"files":{"readme":"README.rst","changelog":"CHANGELOG.rst","contributing":"CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.bib","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-01-12T13:27:53.000Z","updated_at":"2024-10-29T16:49:53.000Z","dependencies_parsed_at":"2024-05-02T05:05:13.558Z","dependency_job_id":"36068ae5-b5ce-42f7-b7fb-59fb98b24ec6","html_url":"https://github.com/e2nIEE/pandapower","commit_stats":{"total_commits":5731,"total_committers":156,"mean_commits":36.73717948717949,"dds":0.846798115512127,"last_synced_commit":"ae39c69b026e5593813557c159eda58c936a6b67"},"previous_names":[],"tags_count":49,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/e2nIEE%2Fpandapower","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/e2nIEE%2Fpandapower/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/e2nIEE%2Fpandapower/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/e2nIEE%2Fpandapower/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/e2nIEE","download_url":"https://codeload.github.com/e2nIEE/pandapower/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244874555,"owners_count":20524577,"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":["analysis","loadflow","optimization","power","powerflow","python","short-circuit","state-estimation","system"],"created_at":"2024-08-01T00:00:52.523Z","updated_at":"2025-03-29T22:31:10.752Z","avatar_url":"https://github.com/e2nIEE.png","language":"Python","readme":"\n.. image:: https://www.pandapower.org/images/pp.svg\n   :target: https://www.pandapower.org\n   :alt: logo\n\n|\n\n.. image:: https://badge.fury.io/py/pandapower.svg\n   :target: https://pypi.python.org/pypi/pandapower\n   :alt: PyPI\n\n.. image:: https://img.shields.io/pypi/pyversions/pandapower.svg\n   :target: https://pypi.python.org/pypi/pandapower\n   :alt: versions\n\n.. image:: https://readthedocs.org/projects/pandapower/badge/\n   :target: http://pandapower.readthedocs.io/\n   :alt: docs\n\n.. image:: https://codecov.io/github/e2nIEE/pandapower/coverage.svg?branch=master\n   :target: https://app.codecov.io/github/e2nIEE/pandapower?branch=master\n   :alt: codecov\n\n.. image:: https://api.codacy.com/project/badge/Grade/e2ce960935fd4f96b4be4dff9a0c76e3\n   :target: https://app.codacy.com/gh/e2nIEE/pandapower?branch=master\n   :alt: codacy\n\n.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg\n   :target: https://github.com/e2nIEE/pandapower/blob/master/LICENSE\n   :alt: BSD\n\n.. image:: https://pepy.tech/badge/pandapower\n   :target: https://pepy.tech/project/pandapower\n   :alt: pepy\n\n.. image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/e2nIEE/pandapower/master?filepath=tutorials\n   :alt: binder\n\n\n\n\n\npandapower is an easy to use network calculation program aimed to automate the analysis and optimization of power\nsystems. It uses the data analysis library `pandas \u003chttp://pandas.pydata.org\u003e`_ and is compatible with the commonly\nused MATPOWER / PYPOWER case format. pandapower allows using different solvers including an improved Newton-Raphson\npower flow implementation, all `PYPOWER \u003chttps://pypi.python.org/pypi/PYPOWER\u003e`_ solvers, the C++ library solvers for fast steady-state distribution power system analysis of `PowerGridModel \u003chttps://github.com/PowerGridModel/power-grid-model\u003e`_, the Newton-Raphson power flow solvers in the C++ library `lightsim2grid \u003chttps://github.com/BDonnot/lightsim2grid/\u003e`_, and the\n`PowerModels.jl \u003chttps://github.com/lanl-ansi/PowerModels.jl/\u003e`_ library.\n\nMore information about pandapower can be found on `www.pandapower.org \u003chttps://www.pandapower.org/\u003e`_:\n\nAbout pandapower:\n\n- `Power System Modeling \u003chttps://www.pandapower.org/about/#modeling\u003e`_\n- `Power System Analysis \u003chttps://www.pandapower.org/about/#analysis\u003e`_\n- `Citing pandapower \u003chttps://www.pandapower.org/references/\u003e`_\n\nGetting Started:\n\n- `Installation Notes \u003chttps://www.pandapower.org/start/\u003e`_\n- `Minimal Example \u003chttps://www.pandapower.org/start/#intro\u003e`_\n- `Interactive Tutorials \u003chttps://www.pandapower.org/start/#tutorials\u003e`_\n- `Documentation \u003chttps://pandapower.readthedocs.io/\u003e`_\n\nIf you are interested in the latest pandapower developments, subscribe to our `mailing list \u003chttps://www.pandapower.org/contact/#list\u003e`_!\n\n.. image:: https://simbench.de/wp-content/uploads/2019/01/logo.png\n   :target: https://www.simbench.net\n   :alt: SimBench_logo\n\nTo get realistic load profile data and grid models across all voltage levels that are ready to\nbe used in pandapower, have a look at the *SimBench* `project website \u003chttps://www.simbench.net\u003e`_ or\n`on GitHub \u003chttps://github.com/e2nIEE/simbench\u003e`_.\n\n.. image:: https://www.pandapipes.org/images/pp.svg\n   :target: https://www.pandapipes.org\n   :width: 270pt\n   :alt: pandapipes_logo\n\nIf you want to model pipe networks (heat, gas or water) as well, we recommend\npandapower's sibling project *pandapipes* (`website \u003chttps://www.pandapipes.org\u003e`_, `GitHub repository \u003chttps://github.com/e2nIEE/pandapipes\u003e`_).\n\n|\n\npandapower is a joint development of the research group Energy Management and Power System Operation, University of Kassel and the Department for Distribution System\nOperation at the Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel.\n\n.. image:: http://www.pandapower.org/images/contact/Logo_e2n.png\n    :target: https://www.uni-kassel.de/eecs/en/sections/energiemanagement-und-betrieb-elektrischer-netze/home\n    :width: 500\n\n|\n\n.. image:: https://www.pandapower.org/images/contact/Logo_Fraunhofer_IEE.png\n    :target: https://www.iee.fraunhofer.de/en.html\n    :width: 500\n\n|\n\nWe welcome contributions to pandapower of any kind - if you want to contribute, please check out the `pandapower contribution guidelines \u003chttps://github.com/e2nIEE/pandapower/blob/develop/CONTRIBUTING.rst\u003e`_.\n","funding_links":[],"categories":["Power Flow","Frameworks and libraries","Energy Models (Frameworks and libraries)","Energy Systems"],"sub_categories":["Energy System Modeling Frameworks"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fe2nIEE%2Fpandapower","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fe2nIEE%2Fpandapower","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fe2nIEE%2Fpandapower/lists"}