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➡️Squashy⬅️

Large scale graph compression and summarization tool for research and analysis.

Note on suitability for use

➡️Squashy⬅️ is relatively new. It was developed for one of my own academic research projects. The principles behind it are based on published research, however the implementation is my own. I think it works well, however it could do with more testing

What does it do?

At some point the key tools of network analysis struggle with scale. Beyond a few hundred nodes, graphs become too dense to visualise. Nodes too numerous to detect communities.

This can become even more of an issue in a research context, where you often want to run analysis multiple times, tweak settings or actually see your data.

➡️Squashy⬅️can compress graphs made up of millions of nodes and edges into a graph of a few hundred nodes that retains the overall structure.

How does it work?

Release files for squashy 0.1.1

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

Source distribution (sdist)

Source distribution for squashy 0.1.1
File Size Uploaded
squashy-0.1.1.tar.gz 7.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for squashy 0.1.1
File Interpreter ABI Platform
squashy-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 15.3 kB

Release files / squashy-0.1.1.tar.gz

Download URL squashy-0.1.1.tar.gz
Size 7.2 kB
Tags Source
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752455e09a8014582541e86144023c91618800d6553ac70f6c840ffd2188b3f9
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9dab63909ed424a53d2c49a036a70ae7b9c5df86b04e06a05fc9d7813d6629ed
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Uploaded via poetry/1.4.1 CPython/3.8.11 Darwin/22.4.0

Release files / squashy-0.1.1-py3-none-any.whl

Download URL squashy-0.1.1-py3-none-any.whl
Size 8.0 kB
Tags Python 3
SHA-256 checksum
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53ffad444592e665f323f2a158d857feae3c954d8f8a9ba5f5b2d493fb47dd3b
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fbc16882d3191c498f9ce9070e3909c6cf5fd321db05815e26ad87b9bf96e849
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Uploaded via poetry/1.4.1 CPython/3.8.11 Darwin/22.4.0

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This release

0.1.1 This release

2 release files

0.1.0

2 release files

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