Sacred is an open-source Python framework for configuring, running, and recording computational experiments, especially in machine learning research. It provides observers, ingredient-based...
Pros
- Lightweight Python-first experiment configuration and tracking
- Supports reproducibility through captured source code, configuration, and host information
- Can log to MongoDB, files, and other observers without a mandatory cloud account
Cons
- Less polished experiment dashboarding than MLflow or Weights & Biases
- Smaller ecosystem and community than newer ML platforms
- Requires more manual setup for team collaboration and artifact management
Free, open source