open-source-labs/mlflow-js

A JavaScript client library for MLflow that streamlines machine learning lifecycle management in web environments.

46
/ 100
Emerging

This is a JavaScript client library for MLflow, designed for developers working with machine learning models in web environments. It helps you track the performance of different machine learning experiments, manage and register your trained models, and deploy them directly within web browsers or other client-side applications. It's for developers building web applications that need to integrate with MLflow for machine learning lifecycle management.

Use this if you are a web developer or machine learning engineer building web applications and need to manage your MLflow experiments and models directly from JavaScript or TypeScript code.

Not ideal if you are primarily working with Python for your machine learning workflows or do not need to integrate MLflow functionalities into a JavaScript-based web application.

web-development machine-learning-operations experiment-tracking model-management javascript-frameworks
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

40

Forks

8

Language

TypeScript

License

MIT

Last pushed

Jan 01, 2026

Commits (30d)

0

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