tensorflow/tfx
TFX is an end-to-end platform for deploying production ML pipelines
TFX helps machine learning engineers and data scientists efficiently manage and deploy complex ML models into live production systems. It takes raw data, processes it, trains models, and then outputs a robust, monitorable machine learning pipeline. This platform is ideal for teams who need to move their experimental machine learning models into reliable, continuously running services.
2,174 stars. Used by 1 other package. Actively maintained with 9 commits in the last 30 days. Available on PyPI.
Use this if you need to build and manage robust, scalable machine learning systems that can automatically retrain and update models in production.
Not ideal if you are only experimenting with ML models or if your ML workflows are simple and don't require continuous deployment or monitoring.
Stars
2,174
Forks
731
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
9
Dependencies
33
Reverse dependents
1
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