True way to save and serve python models

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  • License: MIT License (MIT)
  • Author: Jason Jafari
  • Tags machine learning , model , saving , serving
  • Requires: Python >=3.8
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Project description

jrjModelRegistry

jrjModelRegistry is a lightweight and flexible Python library for saving, versioning, and serving machine learning models.

  • 📦 Store models in S3-compatible storage with ZIP encryption
  • 🗃️ Track metadata in MongoDB
  • ⚡ Dynamically serve models using built-in FastAPI routes and dashboard
  • ✅ Works with any Python object (models, transformers, even DataFrames)

Simple enough for small projects, powerful enough for production.

📖 Read the Docs 📦 View on PyPI ⭐ Star on GitHub

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📚 Documentation

Looking for usage examples, API details, and setup guides?

👉 Full documentation is available here: https://jrjmodelregistry.super.site

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Avatar for jasonjafari from gravatar.com jasonjafari

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  • License: MIT License (MIT)
  • Author: Jason Jafari
  • Tags machine learning , model , saving , serving
  • Requires: Python >=3.8
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