FastTrackML

Place

#27 of 39

Chart

Score

5.4

The facts below are what the maker publishes about FastTrackML, checked and dated. Our editors have not written about it yet.

The facts

Each one read from FastTrackML's own pages, with the date it was checked.

Compatibility: The project README describes its API as a drop-in replacement for MLflow’s tracking server.checked 4 Oct 2026
Deployment: The server can be installed with pip, launched with Docker, or installed using scripts for Linux, macOS, and Windows.checked 4 Oct 2026
License: The project README says FastTrackML is licensed under Apache License 2.0.checked 4 Oct 2026
Logging: FastTrackML supports logging experiment parameters and metrics through the MLflow Python package.checked 4 Oct 2026
Product: FastTrackML is an experiment tracking server focused on speed and scalability.checked 4 Oct 2026
Project status: GitHub says the repository was archived on March 31, 2026 and is now read-only.checked 4 Oct 2026
Successor: The homepage identifies mlflow-go as FastTrackML’s successor.checked 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.checked 4 Oct 2026
Use case: The site’s example logs a parameter and metric, then displays experiment metrics and run information in the UI.checked 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.checked 4 Oct 2026