m3dev/gokart
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
This project helps data scientists and machine learning engineers create robust and reproducible machine learning pipelines for batch processing. You provide your individual data processing and model training steps, and it automatically manages dependencies, stores intermediate results, and ensures consistent outputs even if parameters change. It's designed for teams building and deploying ML models where data integrity and consistent results are critical.
336 stars. Used by 1 other package. Available on PyPI.
Use this if you need to build machine learning pipelines where reproducibility, consistent results, and automatic management of task dependencies are crucial, especially for batch execution.
Not ideal if you need in-memory parallel processing for individual tasks, advanced visualization of your pipeline, or a dedicated experiment management tool.
Stars
336
Forks
62
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
14
Reverse dependents
1
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