Oxid15/cascade
Lightweight and modular MLOps library targeted at small teams or individuals
Cascade helps machine learning engineers and researchers manage their model development, especially in small teams or as individuals. It tracks changes to data processing pipelines and machine learning experiments, ensuring you can version and reproduce your work. You provide your data and models, and it outputs organized metadata, metrics, and model versions, visible through a web dashboard.
Use this if you are developing machine learning models and need a lightweight way to track data transformations, experiment results, and model versions without the overhead of complex, large-scale MLOps platforms.
Not ideal if you already have a comprehensive MLOps infrastructure or require extensive enterprise-grade features for massive, distributed ML workflows.
Stars
21
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 03, 2026
Commits (30d)
0
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