FastTrackML

6.4easy start · #19 of 37
in ML Experiment Tracking Software

Runs on api, Linux, Mac, self-hosted, Web, Windows.

FastTrackML is ranked #19 of 37 in ML experiment tracking software on The Geeks Club. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Compared on ML experiment tracking software

Comet 0 of 4 in the starter kit Lesson 18.0 Weights & Biases 0 of 4 in the starter kit Lesson 28.0 GitLab Package Registry 0 of 4 in the starter kit Lesson 37.7 MLRun 0 of 4 in the starter kit Lesson 47.7 Amazon SageMaker Autopilot 0 of 4 in the starter kit Lesson 57.6 DagsHub 0 of 4 in the starter kit Lesson 67.6

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

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