ML workflow for Javascript
Harness MLflow's functionality for your Javascript application with MLflow.js
MLOps in Javascript, made simple.
MLflow.js is an open source JavaScript client library, bringing MLflow's powerful capabilities to JavaScript and TypeScript environments. It makes machine learning experimentation and model management intuitive for JavaScript developers through a clean, Promise-based API. Built with TypeScript, it provides comprehensive access to MLflow's REST API while adding streamlined abstractions for common ML workflows. Whether you're tracking experiments with TensorFlow.js, automating retraining pipelines, or managing A/B tests, MLflow.js helps you organize and version everything in one place.
Effortless integration
Connect your JavaScript stack directly to MLflow with minimal setup.Streamlined MLOps
Automate key MLOps tasks directly from Node.js, simplifying workflow management. Manage experiments, runs, model registry and model version management with dedicated methods.For the modern web developer
Designed specifically for JavaScript developers: no Python knowledge required.Dive deeper
Execute complex MLOps tasks with a single function call with MLflow.js's powerful built-in workflows.Manage experiments
Create experiments with MLflow.js. Using built-in workflows, manage complex operations easily.
Complete workflow
This example demonstrates how to use MLflow.js to support a full ML project with TensorFlow.js. It covers logging hyperparameters and metrics during training, evaluating model performance, registering high-performing models, and exploring results in the MLflow UI. Check out the full code example on GitHub.
Visualize results in the MLflow UI
Once the run completes, the MLflow UI provides powerful visualization tools to analyze experiments. Compare training and testing metrics across different runs to track performance patterns, or create custom charts that combine any logged hyperparameters and metrics to identify optimal model configurations
Meet the team
Yiqun Zheng
Kyler Chiago
Austin Fraser
Stephany Ho
Winston Ludlam