# e2nIEE/pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

Repository: https://github.com/e2nIEE/pandapower
Canonical: https://ross.abutalabs.com/products/pandapower
Homepage: https://www.pandapower.org
Language: Python
License: NOASSERTION
License Family: other
Topics: powerflow, python, power, system, analysis, optimization, short-circuit, state-estimation, loadflow
Last push: 2026-08-25T12:09:59+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 92, longevity 100
- inputs: {"age_days": 3520, "days_push": 8, "days_rel": 56, "gap_med": 25, "n_releases_24m": 14}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1246, forks 604 (observed 2026-08-28T04:04:07.117828+00:00)

## What it is
pandapower is an open-source Python library for power system modeling, analysis, and optimization, built on pandas and PYPOWER. It provides validated electric models, power flow solvers, optimal power flow, state estimation, short-circuit calculation, and topological graph searches with a high degree of automation.

## Use cases
- run power flow calculations on electrical grids in python
- model transmission and distribution networks with validated line and transformer models
- perform optimal power flow optimization
- calculate short-circuit currents in a power grid
- run state estimation on network measurements
- analyze grid topology with graph searches
- automate batch loadflow studies for grid planning
- convert MATPOWER/PYPOWER case files for python analysis

## When to choose
- you need automated, scriptable power system analysis in Python
- you want an open-source alternative to commercial tools like PowerFactory or Sincal
- you need validated electric models plus multiple solver backends (Newton-Raphson, lightsim2grid, PowerGridModel, PowerModels.jl)
- you work with pandas-based data workflows or MATPOWER case formats

## When to avoid
- you need a graphical user interface for interactive grid design
- you require real-time or transient/dynamic electromagnetic simulation
- you work outside power systems engineering

## Facets
- artifact type: library
- maturity: stable
- function: simulation, math, data-science
- domain: energy, simulation, data-science
- platform: python, cross-platform
- tags: power-systems, power-flow, loadflow, state-estimation, short-circuit, grid-modeling, pandas, optimal-power-flow, optimization, engineering

## Member repositories
- e2nIEE/pandapower (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.117828+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:08:03.001673+00:00, confidence not recorded.
  - readme: https://github.com/e2nIEE/pandapower (fetched 2026-08-28T04:04:07.117828+00:00, sha 3f0551313a53)
  - homepage: https://www.pandapower.org (fetched 2026-08-29T12:19:24.992939+00:00, sha 1dc79ba4b31b)
  - site_page: https://www.pandapower.org/about (fetched 2026-08-29T12:19:25.002144+00:00, sha 667c4292403d)
  - registry_pypi: https://pypi.org/pypi/pandapower/json (fetched 2026-08-29T12:19:25.006156+00:00, sha 97c1ef820f27)
  - site_page: https://www.pandapower.org/start (fetched 2026-08-29T12:19:25.004284+00:00, sha 2c73c785d752)
- Data as of 2026-08-30T08:39:29.467469+00:00.