qnbhd/mljet
Minimalistic ML-models auto deployment tool
This tool streamlines the often-tedious process of taking a completed machine learning model and making it available for others to use. It takes your trained model (like a scikit-learn or XGBoost model) and automatically packages it into a ready-to-use service, complete with an API and documentation. This is perfect for data scientists who need to quickly showcase their models to managers or integrate them into other applications without deep web development knowledge.
Available on PyPI.
Use this if you are a data scientist who wants to quickly deploy your machine learning model as a web service for demonstration or integration, without spending hours on setting up web frameworks and Docker.
Not ideal if you need highly customized web application features around your model, or if you prefer manual control over every aspect of your deployment environment.
Stars
67
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
23
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