FastTrackML

Spec sheet

Product

FastTrackML is an experiment tracking server focused on speed and scalability.Read 4 Oct 2026 · fasttrackml.io

Deployment

The server can be installed with pip, launched with Docker, or installed using scripts for Linux, macOS, and Windows.Read 4 Oct 2026 · fasttrackml.io

License

The project README says FastTrackML is licensed under Apache License 2.0.Read 4 Oct 2026 · github.com

Compatibility

The project README describes its API as a drop-in replacement for MLflow’s tracking server.Read 4 Oct 2026 · github.com

Logging

FastTrackML supports logging experiment parameters and metrics through the MLflow Python package.Read 4 Oct 2026 · fasttrackml.io

Project status

GitHub says the repository was archived on March 31, 2026 and is now read-only.Read 4 Oct 2026 · github.com

Successor

The homepage identifies mlflow-go as FastTrackML’s successor.Read 4 Oct 2026 · fasttrackml.io

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.Read 4 Oct 2026 · fasttrackml.io

Use case

The site’s example logs a parameter and metric, then displays experiment metrics and run information in the UI.Read 4 Oct 2026 · fasttrackml.io

User interfaces

It offers a modern Aim UI alternative and a Classic UI described as providing the same experience as MLflow’s tracking server.Read 4 Oct 2026 · fasttrackml.io

Where Specifiction places it

• ML Experiment Tracking Software#26 of 397.0