tensorflow / tfx
TFX is an end-to-end platform for deploying production ML pipelines
Why this job: works in the areas we cover, but does not say which job it does
What it does
TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves as well as the integrations with orchestration systems can be extended.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 2,190
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.21.0
- Released 4 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 99% closed
- 7 still open
- Pull requests
- 3,811 merged
- 255 waiting
- Releases
- 101
- 5 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 98%
- Jupyter Notebook 1%
- Shell 1%
- Starlark 1%
Topics
- tensorflow
- machine-learning
- apache-beam
Project record
- JobOther AI tools
- StatusListed
- Commits6,175
- Forks727
- Watching83
- Stars in 28 days+1
- CreatedFeb 4, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026