e2nIEE/pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas observed · 2026-08-28
Health v2 · maintenance only
97/100
- Activity 99
- Release rhythm 92
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 25
- age_days: 3520
- days_rel: 56
- days_push: 8
- n_releases_24m: 14
Adoption not part of the score
1246 stars · 604 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity stable
simulation math data-science energy simulation data-science python cross-platform power-systems power-flow loadflow state-estimation short-circuit grid-modeling pandas optimal-power-flow optimization engineering
5 sources
- readme: https://github.com/e2nIEE/pandapower · fetched 2026-08-28 · 3f0551313a53
- homepage: https://www.pandapower.org · fetched 2026-08-29 · 1dc79ba4b31b
- site_page: https://www.pandapower.org/about · fetched 2026-08-29 · 667c4292403d
- registry_pypi: https://pypi.org/pypi/pandapower/json · fetched 2026-08-29 · 97c1ef820f27
- site_page: https://www.pandapower.org/start · fetched 2026-08-29 · 2c73c785d752
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| e2nIEE/pandapower | main | 97 |
For agents
markdown · JSON · MCP: product_card(name="e2nIEE/pandapower")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem