FastTrackML

APIyesOSS—FREE—DOCS4/5

FA6.7#16 of 37

outWeboutWindowsoutMacoutLinux—Android—iOS

Ranked in ML Experiment Tracking Software ·No free plan on record

About

FastTrackML is ranked #16 of 37 in ML experiment tracking software on Inferse. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Product: FastTrackML is an experiment tracking server focused on speed and scalability.fasttrackml.io · 4 Oct 2026
Successor: The homepage identifies mlflow-go as FastTrackML’s successor.fasttrackml.io · 4 Oct 2026
Logging: FastTrackML supports logging experiment parameters and metrics through the MLflow Python package.fasttrackml.io · 4 Oct 2026
User interfaces: It offers a modern Aim UI alternative and a Classic UI described as providing the same experience as MLflow’s tracking server.fasttrackml.io · 4 Oct 2026
Compatibility: The project README describes its API as a drop-in replacement for MLflow’s tracking server.github.com · 4 Oct 2026
Deployment: The server can be installed with pip, launched with Docker, or installed using scripts for Linux, macOS, and Windows.fasttrackml.io · 4 Oct 2026
Use case: The site’s example logs a parameter and metric, then displays experiment metrics and run information in the UI.fasttrackml.io · 4 Oct 2026
License: The project README says FastTrackML is licensed under Apache License 2.0.github.com · 4 Oct 2026
Support and community: The homepage invites contributions and provides a contact form, an MLOps.community Slack channel, and links to report issues or create pull requests.fasttrackml.io · 4 Oct 2026
Project status: GitHub says the repository was archived on March 31, 2026 and is now read-only.github.com · 4 Oct 2026