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pandapower

Free#32 of 63 in Energy Analytics Software

pandapower: A programmable toolkit for grid calculations, not a full energy analytics suite. Ranked #32 of 63 in Energy Analytics Software by our editors (5.7/10); pricing: Free plan; best for teams needing open-source grid calculations.

5.7/10Editor score
pandapower5.7 Visit pandapower

At a glance

  • Editor score
    5.7 / 10
  • Pricing
    Free plan
  • Best for
    Teams needing open-source grid calculations
  • Free plan
    Yes
  • Paid from
    Free
  • Generation analytics
    Yes
  • Facts checked
    29 Sep 2026
  • Where it wins

    • Covers power flow, optimal power flow, state estimation, and short circuits
    • Supports three-phase modeling, contingency analysis, and time-series simulations
    • Stores network data and results in pandas-based tables
  • Where it doesn't

    • Focuses on grid calculations rather than a broad energy analytics suite
    • Designed for programmable workflows, not a graphical application
    • Does not include predictive asset analytics

Our verdict on pandapower

For power-system engineers, researchers, and developers who need programmable network calculations, pandapower provides an open-source Python toolbox for modeling and analyzing electrical systems. It supports static analysis across transmission, subtransmission, and three-phase distribution networks. Rather than a general-purpose energy analytics application, its focus is grid modeling and calculation workflows that can be automated and customized.

Its calculation set spans power flow, optimal power flow, state estimation, short-circuit calculations, topological graph searches, contingency analysis, and time-series simulations. Three-phase network modeling includes asymmetrical loads and generators. Network elements and results are represented in pandas-based tables, which suits teams working with Python and tabular data. Integrations include PYPOWER, MATPOWER, PowerFactory, CIM CGMES, UCTE-DEF, and OpenDSS. The toolbox is open source and can be installed locally on Windows, Linux, and macOS; its published model does not depend on a paid tier.

The trade-off is scope and working style: pandapower is centered on power-system calculations, not dedicated energy analytics or predictive asset maintenance, and it is intended for programmable workflows rather than a graphical application. Community support and documentation are the stated support channels. Choose it if your team wants an open-source foundation for grid calculations and can work in Python; consider a broader energy analytics product if you need predictive asset insights or a graphical, less code-oriented environment.

Your product? Our editors can test pandapower in depth and publish a review, labelled as paid · from $99/mo →

pandapower pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on pandapower.org

pandapower fact sheet

Free planYes
Paid fromFree
Generation analyticsYes
Grid analyticsYes
Consumption analyticsYes
Predictive asset analyticsNo
Energy-market analyticsYes
Deployment optionsNot verified
DeploymentSelf-hosted
PlatformsWindows, Linux, macOS
SupportCommunity, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations6 integrations: PYPOWER, MATPOWER, PowerFactory, CIM CGMES, UCTE-DEF, OpenDSS
PricingFree plan
Websitepandapower.org
Facts checked29 Sep 2026

pandapower integrations

pandapower lists 6 integrations on its own site.

  • PYPOWER
  • MATPOWER
  • PowerFactory
  • CIM CGMES
  • UCTE-DEF
  • OpenDSS

Alternatives to pandapower

See all pandapower alternatives →

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Featured on iTechGuides

Featured on iTechGuides — pandapower 5.7/10

pandapower is listed in our Energy Analytics Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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