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Graph Exchange File Format

License PyPI Python Version Test geff Benchmarks

GEFF is a specification for a file format for exchanging spatial graph data. It is not intended to be mutable, editable, chunked, or optimized for use in an application setting.

The geff python library also includes implementations for writing from and reading to three different Python in-memory graph data structures (networkx, rustworkx and spatial-graph). The library uses semantic versioning, where changes to the specification bump the major or minor versions, and bugfixes for the example implementation bumps the patch version.

Learn more in the documentation or check out the source code.

Installation

pip install geff

Metadata

Release files for geff 1.3.1.1.3

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

Source distribution (sdist)

Source distribution for geff 1.3.1.1.3
File Size Uploaded
geff-1.3.1.1.3.tar.gz 133.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for geff 1.3.1.1.3
File Interpreter ABI Platform
geff-1.3.1.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 202.6 kB

Release files / geff-1.3.1.1.3.tar.gz

Download URL geff-1.3.1.1.3.tar.gz
Size 133.5 kB
Tags Source
SHA-256 checksum
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318233ced75ffac29a6ecd813b3cf872ff57bb83e2f28bb64a81628a8d9ac2da
BLAKE2b-256 checksum
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8645da956fd26a35972f7ef549c8b2af9456d217315ef50282c4b3060de08de0
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Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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

Signed by GitHub Actions, verified by PyPI on Aug 27, 2026.

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Release files / geff-1.3.1.1.3-py3-none-any.whl

Download URL geff-1.3.1.1.3-py3-none-any.whl
Size 69.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d86d608f5a3eab5e7be3252d3a900f0d8ac0e2bf2a53e97ac546a91b675ff6b2
BLAKE2b-256 checksum
How to use checksums
98aedcc06a6dc25d52988ab8eb0bf2da34ed5adc7cc41c5cad0dd085797918b2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Aug 27, 2026.

Transparency log
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