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sacred

IDSIA/sacred

A tool for experiment configuration, logging, and reproducibility

GraphCanon updated Sep 27, 2026 · GitHub synced Sep 27, 2026

27views this month

4.4k stars392 forksLast push Oct 22, 2025 Python MIT

Decision brief

Sacred is an experiment management tool for machine learning that emphasizes configuration management, logging, and reproducibility.

Good fit when

  • When precise control over experiment configurations and their dependencies is required, allowing consistent reproduction of results.
  • For teams or researchers who need persistent storage solutions like MongoDB to track all experiment parameters and outcomes across different runs.

Avoid when

  • If your project does not require deep integration with MongoDB for logging purposes, as Sacred assumes this setup out-of-the-box without offering as much flexibility to other storage options.
  • When you need a tool with lightweight overhead, since Sacred's comprehensive feature set introduces more complexity suitable only for larger-scale projects.
Pricing:
freemium - Being an open-source tool under the MIT license, Sacred can be used freely without any cost.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (339d since push)
As of Sep 27, 2026
Provenance
Not a fork · Organization account
As of Sep 27, 2026
Security (OSV)
No criticals
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install sacred
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Sacred aids in managing machine-learning experiments with features like config injection, observers for detailed logging that can save to MongoDB, and automatic seeding.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 27, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 27, 2026)

| .. code:: python | .. code:: python |
Source link

Tags

README

Sacred ====== Every experiment is sacred Every experiment is great If an experiment is wasted God gets quite irate pypi py versions license rtfd doi build coverage code quality black Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed t...

For agents

This page has a .md twin and JSON over the API.

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