No. 21 of 37 ·ML Experiment Tracking Software

Sacred

Linux · Self-hosted

Freedom report

One barScore 5.3

Sacred is ranked #21 of 37 in ML experiment tracking software on Freedom251. It runs on Linux, Self-hosted.

Compared on ML experiment tracking software

Purpose: Sacred helps configure, organize, log, and reproduce computational experiments.
Experiment parameters: Config scopes let local variables in a function define an experiment’s parameters.
Config access: Configuration parameters can be injected by name into functions.
Command line: Each experiment has a command-line interface for changing parameters and running variants.
Run logging: Observers log experiment dependencies, configuration, machine, and results, and can save them to MongoDB.
Reproducibility: Automatic seeding helps control randomness so results remain reproducible.
Installation: The project README describes installation with pip or from the Git repository.
Optional dependencies: NumPy and PyMongo are optional dependencies that provide additional features.
Integrations: The README describes a Neptune integration that logs Sacred experiments through an observer.
External dashboards: The README lists external frontends including Omniboard, Incense, Sacredboard, and SacredBrowser.
Support: The project directs usage questions to Stack Overflow under the python-sacred tag and invites bug reports and feature requests through GitHub issues.
License: The project is released under the MIT license.
Limit: Sacred is designed for Python experiments; the README contrasts it with Sumatra for non-Python experiments.

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