Convenient Power System Modelling and Analysis based on PYPOWER and pandas
See the code.. image:: https://www.pandapower.org/images/pandapower_color.svg
:target: https://www.pandapower.org
:alt: logo
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.. image:: https://badge.fury.io/py/pandapower.svg
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:target: https://pandapower.readthedocs.io/
:alt: docs
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:target: https://app.codecov.io/github/e2nIEE/pandapower?branch=master
:alt: codecov
.. image:: https://api.codacy.com/project/badge/Grade/e2ce960935fd4f96b4be4dff9a0c76e3
:target: https://app.codacy.com/gh/e2nIEE/pandapower?branch=master
:alt: codacy
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:target: https://github.com/e2nIEE/pandapower/blob/master/LICENSE
:alt: BSD
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:target: https://pepy.tech/project/pandapower
:alt: pepy
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:target: https://mybinder.org/v2/gh/e2nIEE/pandapower/master?filepath=tutorials
:alt: binder
pandapower is an easy to use network calculation program aimed to automate the analysis and optimization of power
systems. It uses the data analysis library `pandas <https://pandas.pydata.org>`_ and is compatible with the commonly
used MATPOWER / PYPOWER case format. pandapower allows using different solvers including an improved Newton-Raphson
power flow implementation, all `PYPOWER <https://pypi.python.org/pypi/PYPOWER>`_ solvers, the C++ library solvers for
fast steady-state distribution power system analysis of `PowerGridModel <https://github.com/PowerGridModel/power-grid-model>`_,
the Newton-Raphson power flow solvers in the C++ library `lightsim2grid <https://github.com/BDonnot/lightsim2grid/>`_,
and the `PowerModels.jl <https://github.com/lanl-ansi/PowerModels.jl/>`_ library.
More information about pandapower can be found on `www.pandapower.org <https://www.pandapower.org/>`_:
About pandapower:
- `Power System Modeling <https://www.pandapower.org/about/#modeling>`_
- `Power System Analysis <https://www.pandapower.org/about/#analysis>`_
- `Citing pandapower <https://www.pandapower.org/references/>`_
Getting Started:
- `Installation Notes <https://www.pandapower.org/start/>`_
- `Minimal Example <https://www.pandapower.org/start/#intro>`_
- `Interactive Tutorials <https://www.pandapower.org/start/#tutorials>`_
- `Documentation <https://pandapower.readthedocs.io/>`_
If you are interested in the latest pandapower developments, subscribe to our `mailing list <https://www.pandapower.org/contact/#list>`_!
.. image:: https://simbench.de/wp-content/uploads/2025/11/logo.png
:target: https://www.simbench.net
:alt: SimBench_logo
To get realistic load profile data and grid models across all voltage levels that are ready to
be used in pandapower, have a look at the *SimBench* `project website <https://www.simbench.net>`_ or
`on GitHub <https://github.com/e2nIEE/simbench>`_.
.. image:: https://www.pandapipes.org/images/pandapipes_color.svg
:target: https://www.pandapipes.org
:width: 270pt
:alt: pandapipes_logo
If you want to model pipe networks (heat, gas or water) as well, we recommend
pandapower's sibling project *pandapipes*. `pandapipes.org <https://www.pandapipes.org>`__,
`GitHub repository <https://github.com/e2nIEE/pandapipes>`__.
|
pandapower is a joint development of the research group of the Department for Sustainable Electrical Energy Systems (e2n), University of Kassel and the Department for Distribution System
Operation at the Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel.
.. image:: https://www.pandapower.org/images/contact/Logo_e2n_Originalfarben.svg
:target: https://www.uni-kassel.de/eecs/e2n/startseite.html
:width: 500
|
.. image:: https://www.pandapower.org/images/contact/Logo_Fraunhofer_IEE.svg
:target: https://www.iee.fraunhofer.de/en.html
:width: 500
|
We welcome contributions to pandapower of any kind - if you want to contribute, please check out the
`contribution guidelines <https://github.com/e2nIEE/pandapower?tab=contributing-ov-file>`__.
Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
Overall
Maintained
Code review
PyPI
Latest release
Releases this year
213 followers · starred Nov 2018
826 followers · starred Jun 2026
195 followers · starred Apr 2025
39 followers · starred Aug 2024
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
See the code.. image:: https://www.pandapower.org/images/pandapower_color.svg
:target: https://www.pandapower.org
:alt: logo
|
.. image:: https://badge.fury.io/py/pandapower.svg
:target: https://pypi.python.org/pypi/pandapower
:alt: PyPI
.. image:: https://img.shields.io/pypi/pyversions/pandapower.svg
:target: https://pypi.python.org/pypi/pandapower
:alt: versions
.. image:: https://readthedocs.org/projects/pandapower/badge/
:target: https://pandapower.readthedocs.io/
:alt: docs
.. image:: https://codecov.io/github/e2nIEE/pandapower/coverage.svg?branch=master
:target: https://app.codecov.io/github/e2nIEE/pandapower?branch=master
:alt: codecov
.. image:: https://api.codacy.com/project/badge/Grade/e2ce960935fd4f96b4be4dff9a0c76e3
:target: https://app.codacy.com/gh/e2nIEE/pandapower?branch=master
:alt: codacy
.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
:target: https://github.com/e2nIEE/pandapower/blob/master/LICENSE
:alt: BSD
.. image:: https://pepy.tech/badge/pandapower
:target: https://pepy.tech/project/pandapower
:alt: pepy
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/e2nIEE/pandapower/master?filepath=tutorials
:alt: binder
pandapower is an easy to use network calculation program aimed to automate the analysis and optimization of power
systems. It uses the data analysis library `pandas <https://pandas.pydata.org>`_ and is compatible with the commonly
used MATPOWER / PYPOWER case format. pandapower allows using different solvers including an improved Newton-Raphson
power flow implementation, all `PYPOWER <https://pypi.python.org/pypi/PYPOWER>`_ solvers, the C++ library solvers for
fast steady-state distribution power system analysis of `PowerGridModel <https://github.com/PowerGridModel/power-grid-model>`_,
the Newton-Raphson power flow solvers in the C++ library `lightsim2grid <https://github.com/BDonnot/lightsim2grid/>`_,
and the `PowerModels.jl <https://github.com/lanl-ansi/PowerModels.jl/>`_ library.
More information about pandapower can be found on `www.pandapower.org <https://www.pandapower.org/>`_:
About pandapower:
- `Power System Modeling <https://www.pandapower.org/about/#modeling>`_
- `Power System Analysis <https://www.pandapower.org/about/#analysis>`_
- `Citing pandapower <https://www.pandapower.org/references/>`_
Getting Started:
- `Installation Notes <https://www.pandapower.org/start/>`_
- `Minimal Example <https://www.pandapower.org/start/#intro>`_
- `Interactive Tutorials <https://www.pandapower.org/start/#tutorials>`_
- `Documentation <https://pandapower.readthedocs.io/>`_
If you are interested in the latest pandapower developments, subscribe to our `mailing list <https://www.pandapower.org/contact/#list>`_!
.. image:: https://simbench.de/wp-content/uploads/2025/11/logo.png
:target: https://www.simbench.net
:alt: SimBench_logo
To get realistic load profile data and grid models across all voltage levels that are ready to
be used in pandapower, have a look at the *SimBench* `project website <https://www.simbench.net>`_ or
`on GitHub <https://github.com/e2nIEE/simbench>`_.
.. image:: https://www.pandapipes.org/images/pandapipes_color.svg
:target: https://www.pandapipes.org
:width: 270pt
:alt: pandapipes_logo
If you want to model pipe networks (heat, gas or water) as well, we recommend
pandapower's sibling project *pandapipes*. `pandapipes.org <https://www.pandapipes.org>`__,
`GitHub repository <https://github.com/e2nIEE/pandapipes>`__.
|
pandapower is a joint development of the research group of the Department for Sustainable Electrical Energy Systems (e2n), University of Kassel and the Department for Distribution System
Operation at the Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel.
.. image:: https://www.pandapower.org/images/contact/Logo_e2n_Originalfarben.svg
:target: https://www.uni-kassel.de/eecs/e2n/startseite.html
:width: 500
|
.. image:: https://www.pandapower.org/images/contact/Logo_Fraunhofer_IEE.svg
:target: https://www.iee.fraunhofer.de/en.html
:width: 500
|
We welcome contributions to pandapower of any kind - if you want to contribute, please check out the
`contribution guidelines <https://github.com/e2nIEE/pandapower?tab=contributing-ov-file>`__.
Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
Overall
Maintained
Code review
PyPI
Latest release
Releases this year
213 followers · starred Nov 2018
826 followers · starred Jun 2026
195 followers · starred Apr 2025
39 followers · starred Aug 2024