---
id: pandapower
version: "3.5.4"
license: unclear
license_treatment: permissive
maintenance: active
---

# pandapower — An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.

License: permissive · Maintenance: active · Downloads: 617.9K/mo

## 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 above — verify before relying.

pandapower automates power system modeling, analysis, and optimization using pandas DataFrames and multiple solver backends including Newton-Raphson, PYPOWER, PowerGridModel, and lightsim2grid.

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

pip install pandapower
uv add pandapower
poetry add pandapower

## Installing pandapower

Before you install: Low friction installation with 11 well-established runtime dependencies. Active maintenance with recent release 37 days ago and 1233 repository stars.

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)

Requires Python 3.10 or later. Optional solver backends (PowerGridModel, lightsim2grid) may require separate installation.

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: not declared (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 617.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

power system analysis, power flow calculation, electrical grid modeling, power system optimization, network analysis electricity, MATPOWER case format, distribution system simulation, power-systems, grid-analysis, electrical-engineering

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