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.

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📚 Documentation

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

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