GraphCanon updated Sep 22, 2026 · GitHub synced Sep 22, 2026
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Decision brief
Pruna is a Python framework focused on delivering quicker and leaner AI models for developers across Linux, MacOS, and Windows platforms.
Good fit when
- - You need to optimize pre-trained models like those from Stable Diffusion for better performance.
- - Your project requires customization of the optimization process through `SmashConfig`, offering flexibility with various algorithms.
Avoid when
- - When the specific model you wish to optimize does not benefit from Pruna's supported optimization algorithms.
- - If your project's operating system requirements are outside of Linux, MacOS, or Windows platforms as Pruna might not support all required OS features.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 22, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 22, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pruna PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Pruna is designed to help developers deliver faster and more efficient AI models with ease.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 22, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 22, 2026)
- Python 3.9 or higherSource link
Tags
README
<img src="./docs/assets/images/pruna cool.png" alt="Pruna Cool" width=20 </img Installation Pruna is currently available for installation on Linux, MacOS and Windows. However, some algorithms impose restrictions on the operating system and might not be available on all platforms....
For agents
This page has a .md twin and JSON over the API.