pandapower
An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.
Decision gist · record as of 2026-08-14
Yes. pandapower is production-stable (Development Status 5), actively maintained with recent releases, has no known vulnerabilities, and offers low-friction installation. It is the right choice if you need to model or analyze electrical power systems with flexible solver options.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Optional solver backends (PowerGridModel, lightsim2grid) may require separate installation.
- Low friction installation with 11 well-established runtime dependencies.
License · maintenance · safety
permissive license (permissive) — Permissive BSD license allows commercial and private use with minimal restrictions.
last release 2026-07-08 (37 days) · last repo commit 2026-08-14 · 1,233 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 617,872 downloads/mo, #5,737 on PyPI
Alternatives
Verify before relying
pip install pandapower
import pandapower as pp
net = pp.create_empty_network()
pp.create_bus(net, vn_kv=10.0)
pp.runpp(net)- Whether optional solver backends require separate installation or compilation steps beyond the base package.
- Performance characteristics and scalability limits for large-scale power systems.
- Compatibility with MATPOWER case format versions and any known format limitations.
What it is and what it does
pandapower is a Python library for modeling and analyzing electrical power systems, built on top of pandas for data management. It provides an automated workflow for power system calculations, supporting multiple solver backends—including its own Newton-Raphson implementation, PYPOWER solvers, and C++ accelerated libraries like PowerGridModel and lightsim2grid—to handle steady-state distribution and transmission analysis. The library is designed for engineers, researchers, and students working with power grids, offering compatibility with the widely-used MATPOWER and PYPOWER case formats.
The package integrates with standard scientific Python tools (numpy, scipy, networkx) and includes utilities for data validation (pandera), visualization (geojson), and progress tracking (tqdm). It is actively maintained by researchers at the University of Kassel and Fraunhofer IEE. The library targets both analysis tasks and optimization problems in electrical grids.
Use it for
- Perform load flow analysis and contingency studies on electrical distribution and transmission networks.
- Optimize power system operations and design using multiple solver backends for different accuracy/speed tradeoffs.
- Import and analyze power system models from MATPOWER or PYPOWER case files in a pandas-native workflow.
- Automate batch analysis of grid scenarios with realistic load profiles from SimBench project data.
- Integrate power system analysis into research workflows or educational demonstrations of grid behavior.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
pandapower is production-stable (Development Status 5), actively maintained with recent releases, has no known vulnerabilities, and offers low-friction installation. It is the right choice if you need to model or analyze electrical power systems with flexible solver options.
Install
pandapower on PyPI
Before you install
Low friction installation with 11 well-established runtime dependencies. Active maintenance with recent release 37 days ago and 1233 repository stars.
Requires Python 3.10 or later. Optional solver backends (PowerGridModel, lightsim2grid) may require separate installation.
License in practice
Permissive BSD license allows commercial and private use with minimal restrictions.
Quickstart
pip install pandapower
import pandapower as pp
net = pp.create_empty_network()
pp.create_bus(net, vn_kv=10.0)
pp.runpp(net)Verify before relying
- Whether optional solver backends require separate installation or compilation steps beyond the base package.
- Performance characteristics and scalability limits for large-scale power systems.
- Compatibility with MATPOWER case format versions and any known format limitations.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagespandasnetworkxscipynumpypackagingtqdmcoloramadeepdiffgeojsontyping_extensionspandera |
| Maintenance | Actively maintained 37 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 617,872 / month, #5,737 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: pandapower-3.5.4-py3-none-any.whl
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