Skip to main content

Power Grid Model logo

PyPI version PyPI Downloads PyPI Downloads per month

Anaconda-Server Badge Anaconda-Server Platforms Anaconda-Server Downloads

License: MPL2.0 OpenSSF Best Practices DOI

CI Build docs Nightly build

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

Power Grid Model

power-grid-model is a library for steady-state distribution power system analysis distributed for Python and C. The core of the library is written in C++. Currently, it supports the following calculations:

  • Power Flow
  • State Estimation
  • Short Circuit

See the power-grid-model documentation for more information. For various conversions to the power-grid-model, refer to the power-grid-model-io repository. For an extended python interface to the the power-grid-model, refer to the power-grid-model-ds repository. For an officially supported set of AI agent skills to make optimal use of the power-grid-model, refer to the power-grid-model-ai repository.

Want to be updated on the latest news and releases? Subscribe to the Power Grid Model mailing list by sending an (empty)
email to: powergridmodel+subscribe@lists.lfenergy.org

Installation

Install from PyPI

You can directly install the package from PyPI.

pip install power-grid-model

Install from Conda

If you are using conda, you can directly install the package from conda-forge channel.

conda install -c conda-forge power-grid-model

Build and install from Source

To install the library from source, refer to the Build Guide.

Examples

Please refer to Examples for more detailed examples for power flow and state estimation. Notebooks for validating the input data and exporting input/output data are also included.

License

This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.

Licenses third-party libraries

This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.

Contributing

Please read CODE_OF_CONDUCT, CONTRIBUTING, PROJECT GOVERNANCE and RELEASE for details on the process for submitting pull requests to us.

Visit Contribute for a list of good first issues in this repo.

Citations

If you are using Power Grid Model in your research work, please consider citing our library using the following references.

DOI

@software{Xiang_PowerGridModel_power-grid-model,
  author = {Xiang, Yu and Salemink, Peter and van Westering, Werner and Bharambe, Nitish and Govers, Martinus G.H. and van den Bogaard, Jonas and Stoeller, Bram and Wang, Zhen and Guo, Jerry Jinfeng and Figueroa Manrique, Santiago and Jagutis, Laurynas and Wang, Chenguang and van Raalte, Marc and {Contributors to the LF Energy project Power Grid Model}},
  doi = {10.5281/zenodo.8054429},
  license = {MPL-2.0},
  title = {{PowerGridModel/power-grid-model}},
  url = {https://github.com/PowerGridModel/power-grid-model}
}
@inproceedings{Xiang2023,
  author = {Xiang, Yu and Salemink, Peter and Stoeller, Bram and Bharambe, Nitish and van Westering, Werner},
  booktitle={27th International Conference on Electricity Distribution (CIRED 2023)},
  title={Power grid model: a high-performance distribution grid calculation library},
  year={2023},
  volume={2023},
  number={},
  pages={1089-1093},
  keywords={},
  doi={10.1049/icp.2023.0633}
}

Contact

Please read SUPPORT for how to connect and get into contact with the Power Grid Model project.

Metadata

Release files for power-grid-model 1.13.225

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for power-grid-model 1.13.225
File Size Uploaded Provenance Actions
power_grid_model-1.13.225.tar.gz 1.8 MB With provenance Details for power_grid_model-1.13.225.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for power-grid-model 1.13.225
File Actions
power_grid_model-1.13.225-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for power_grid_model-1.13.225-py3-none-win_amd64.whl
power_grid_model-1.13.225-py3-none-musllinux_1_2_x86_64.whl Python 3 none Linux musl 1.2+ x86-64 Details for power_grid_model-1.13.225-py3-none-musllinux_1_2_x86_64.whl
power_grid_model-1.13.225-py3-none-musllinux_1_2_aarch64.whl Python 3 none Linux musl 1.2+ ARM64 Details for power_grid_model-1.13.225-py3-none-musllinux_1_2_aarch64.whl
power_grid_model-1.13.225-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.28+ x86-64, Linux glibc 2.26+ x86-64 Details for power_grid_model-1.13.225-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl
power_grid_model-1.13.225-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl Python 3 none Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details for power_grid_model-1.13.225-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
power_grid_model-1.13.225-py3-none-macosx_13_0_x86_64.whl Python 3 none macOS 13.0+ x86-64 Details for power_grid_model-1.13.225-py3-none-macosx_13_0_x86_64.whl
power_grid_model-1.13.225-py3-none-macosx_13_0_arm64.whl Python 3 none macOS 13.0+ ARM64 Details for power_grid_model-1.13.225-py3-none-macosx_13_0_arm64.whl

Total release size: 28.2 MB

Release files / power_grid_model-1.13.225.tar.gz

Download URL power_grid_model-1.13.225.tar.gz
Size 1.8 MB
Tags Source
SHA-256 checksum
How to use checksums
d43ceb08c2e1b8d8d67050d9fce108aa5a4c8def8e131f32147647fbde460206
BLAKE2b-256 checksum
How to use checksums
320a2d27b123527c7f3b94bfe515060ce422d5c588d4fe4dbe5aefb0b4153457
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-win_amd64.whl

Download URL power_grid_model-1.13.225-py3-none-win_amd64.whl
Size 1.3 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6047493937ecec7b0fe48130b132bb23a694e046a23248f617761c55ec9a9926
BLAKE2b-256 checksum
How to use checksums
a66923a784c50bfa85ccd4d61ac8a35316401ae678262e79a3dd9ad9227ba23e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-musllinux_1_2_x86_64.whl

Download URL power_grid_model-1.13.225-py3-none-musllinux_1_2_x86_64.whl
Size 5.1 MB
Tags Linux musl 1.2+ x86-64 Python 3
SHA-256 checksum
How to use checksums
540780c7bcd2fd17ce6bc5bca4258223adbf9e50f8456e301ec32c00f807ac49
BLAKE2b-256 checksum
How to use checksums
a75d931baaf731840cb1309c803600f0465d4223e20ad0e40f0b035629372a10
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-musllinux_1_2_aarch64.whl

Download URL power_grid_model-1.13.225-py3-none-musllinux_1_2_aarch64.whl
Size 4.7 MB
Tags Linux musl 1.2+ ARM64 Python 3
SHA-256 checksum
How to use checksums
148750b3dcca1f5bb962a72c8efbd68f0fbe102ab3c89b83e01570c74b206f01
BLAKE2b-256 checksum
How to use checksums
2ffe27d3a9e7d72d496c7f53216bf4b2084722750bb218cc013769910f3ac127
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl

Download URL power_grid_model-1.13.225-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl
Size 4.6 MB
Tags Linux glibc 2.26+ x86-64 Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum
How to use checksums
1510fcb0ebb209d147800bce66b6ed938e3f95338b520c2688c837c0206b3210
BLAKE2b-256 checksum
How to use checksums
c4b0f8cc48a3fd2421d80bb841049401c6f7ae526371baf0b7327a9e4e3e4a04
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL power_grid_model-1.13.225-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 4.2 MB
Tags Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 Python 3
SHA-256 checksum
How to use checksums
90ffe4059e40ff81a7c8e9bc5c5c173b38461475d9009360ed5a678730a62d4b
BLAKE2b-256 checksum
How to use checksums
1586aa549c5698f729f35bdb6c732aa2195874ebe80a4c48bed35c5d308c7de4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-macosx_13_0_x86_64.whl

Download URL power_grid_model-1.13.225-py3-none-macosx_13_0_x86_64.whl
Size 3.4 MB
Tags Python 3 macOS 13.0+ x86-64
SHA-256 checksum
How to use checksums
d120f2222c59c5358b6ca606501c80afcba6700330abd9a28ecd9c31a76c965c
BLAKE2b-256 checksum
How to use checksums
c8e571c867035fb30b51c26a9fe6f036382600d7567b47d1065ac51a607bcd14
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Release files / power_grid_model-1.13.225-py3-none-macosx_13_0_arm64.whl

Download URL power_grid_model-1.13.225-py3-none-macosx_13_0_arm64.whl
Size 3.1 MB
Tags Python 3 macOS 13.0+ ARM64
SHA-256 checksum
How to use checksums
6151d422a237486f5979f4c269109afff983bac7f81020cc5d06f32eccd73336
BLAKE2b-256 checksum
How to use checksums
39c802e8b57f4334eac4158b38a416ff08c53ba93460d19b9acfa0ce975206c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

Security for power-grid-model 1.13.225

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 8 files in this release have been uploaded with provenance metadata.

Select from 8 files

Attestation for power_grid_model-1.13.225.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 12, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.13.225 This release

8 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page