Factual package intelligence from PyPI
A visual studio for fine-tuning open LLMs (SFT/LoRA/DPO), backed by a config-driven MLOps engine with eval gates, a model registry, monitoring, and cloud-portable serving.
pip install puffin-finetune-studio
PyPI declares 88 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=4.21>=1.26>=4.2<3,>=2.6>=2.0>=6.0>=13>=8.2>=0.12The compact report shows 12 of 88 declarations. The interactive dependency graph loads the complete metadata.
puffin-finetune-studio publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.