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https://github.com/tensorflow/tfx
TFX is an end-to-end platform for deploying production ML pipelines
https://github.com/tensorflow/tfx
apache-beam machine-learning tensorflow
Last synced: 2 months ago
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TFX is an end-to-end platform for deploying production ML pipelines
- Host: GitHub
- URL: https://github.com/tensorflow/tfx
- Owner: tensorflow
- License: apache-2.0
- Created: 2019-02-04T17:14:36.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-03-22T01:16:48.000Z (2 months ago)
- Last Synced: 2024-03-22T10:12:15.866Z (2 months ago)
- Topics: apache-beam, machine-learning, tensorflow
- Language: Python
- Homepage: https://tensorflow.org/tfx
- Size: 230 MB
- Stars: 2,067
- Watchers: 88
- Forks: 694
- Open Issues: 222
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Roadmap: ROADMAP.md
Lists
- awesome-production-machine-learning - Tensorflow Extended (TFX) - Production oriented configuration framework for ML based on TensorFlow, incl. monitoring and model version management. (Model Training Orchestration)
- my-awesome-stars - tensorflow/tfx - TFX is an end-to-end platform for deploying production ML pipelines (Python)
- awesome-production-machine-learning - Tensorflow Extended (TFX) - Production oriented configuration framework for ML based on TensorFlow, incl. monitoring and model version management. (Model Training Orchestration)
- Awesome-AIML-Data-Ops - Tensorflow Extended (TFX) - Production oriented configuration framework for ML based on TensorFlow, incl. monitoring and model version management. (Model Training Orchestration)
- awesome-stars - tensorflow/tfx - TFX is an end-to-end platform for deploying production ML pipelines (Python)
- awesome-python-machine-learning-resources - GitHub - 26% open · ⏱️ 24.08.2022): (数据管道和流处理)
- awesome-list - TFX - An end-to-end platform for deploying production ML pipelines. (Deep Learning Framework / High-Level DL APIs)
README
# TFX
[](https://github.com/tensorflow/tfx)
[](https://badge.fury.io/py/tfx)
[](https://www.tensorflow.org/tfx)
[TensorFlow Extended (TFX)](https://tensorflow.org/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](https://airflow.apache.org/) and
[Kubeflow Pipelines](https://www.kubeflow.org/). Both the components themselves
as well as the integrations with orchestration systems can be extended.
TFX components interact with a
[ML Metadata](https://github.com/google/ml-metadata) backend that keeps a record
of component runs, input and output artifacts, and runtime configuration. This
metadata backend enables advanced functionality like experiment tracking or
warmstarting/resuming ML models from previous runs.
## Documentation
### User Documentation
Please see the
[TFX User Guide](https://github.com/tensorflow/tfx/blob/master/docs/guide/index.md).
### Development References
#### Roadmap
The TFX [Roadmap](https://github.com/tensorflow/tfx/blob/master/ROADMAP.md),
which is updated quarterly.
#### Release Details
For detailed previous and upcoming changes, please
[check here](https://github.com/tensorflow/tfx/blob/master/RELEASE.md)
#### Requests For Comment
TFX is an open-source project and we strongly encourage active participation
by the ML community in helping to shape TFX to meet or exceed their needs. An
important component of that effort is the RFC process. Please see the listing
of [current and past TFX RFCs](RFCs.md). Please see the
[TensorFlow Request for Comments (TF-RFC)](https://github.com/tensorflow/community/blob/master/governance/TF-RFCs.md)
process page for information on how community members can contribute.
## Examples
* [Chicago Taxi Example](https://github.com/tensorflow/tfx/tree/master/tfx/examples/chicago_taxi_pipeline)
## Compatible versions
The following table describes how the `tfx` package versions are compatible with
its major dependency PyPI packages. This is determined by our testing framework,
but other *untested* combinations may also work.
tfx | Python | apache-beam[gcp] | ml-metadata | pyarrow | tensorflow | tensorflow-data-validation | tensorflow-metadata | tensorflow-model-analysis | tensorflow-serving-api | tensorflow-transform | tfx-bsl
------------------------------------------------------------------------- | -------------------- | ---------------- | ----------- | ------- | ----------------- | -------------------------- | ------------------- | ------------------------- | ---------------------- | -------------------- | -------
[GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | >=3.9,<3.11 | 2.47.0 | 1.14.0 | 10.0.0 | nightly (2.x) | 1.14.0 | 1.14.0 | 0.45.0 | 2.9.0 | 1.14.0 | 1.14.0
[1.14.0](https://github.com/tensorflow/tfx/blob/v1.14.0/RELEASE.md) | >=3.8,<3.11 | 2.47.0 | 1.14.0 | 10.0.0 | 2.13 | 1.14.0 | 1.14.0 | 0.45.0 | 2.9.0 | 1.14.0 | 1.14.0
[1.13.0](https://github.com/tensorflow/tfx/blob/v1.13.0/RELEASE.md) | >=3.8,<3.10 | 2.40.0 | 1.13.1 | 6.0.0 | 2.12 | 1.13.0 | 1.13.1 | 0.44.0 | 2.9.0 | 1.13.0 | 1.13.0
[1.12.0](https://github.com/tensorflow/tfx/blob/v1.12.0/RELEASE.md) | >=3.7,<3.10 | 2.40.0 | 1.12.0 | 6.0.0 | 2.11 | 1.12.0 | 1.12.0 | 0.43.0 | 2.9.0 | 1.12.0 | 1.12.0
[1.11.0](https://github.com/tensorflow/tfx/blob/v1.11.0/RELEASE.md) | >=3.7,<3.10 | 2.40.0 | 1.11.0 | 6.0.0 | 1.15.5 / 2.10.0 | 1.11.0 | 1.11.0 | 0.42.0 | 2.9.0 | 1.11.0 | 1.11.0
[1.10.0](https://github.com/tensorflow/tfx/blob/v1.10.0/RELEASE.md) | >=3.7,<3.10 | 2.40.0 | 1.10.0 | 6.0.0 | 1.15.5 / 2.9.0 | 1.10.0 | 1.10.0 | 0.41.0 | 2.9.0 | 1.10.0 | 1.10.0
[1.9.0](https://github.com/tensorflow/tfx/blob/v1.9.0/RELEASE.md) | >=3.7,<3.10 | 2.38.0 | 1.9.0 | 5.0.0 | 1.15.5 / 2.9.0 | 1.9.0 | 1.9.0 | 0.40.0 | 2.9.0 | 1.9.0 | 1.9.0
[1.8.0](https://github.com/tensorflow/tfx/blob/v1.8.0/RELEASE.md) | >=3.7,<3.10 | 2.38.0 | 1.8.0 | 5.0.0 | 1.15.5 / 2.8.0 | 1.8.0 | 1.8.0 | 0.39.0 | 2.8.0 | 1.8.0 | 1.8.0
[1.7.0](https://github.com/tensorflow/tfx/blob/v1.7.0/RELEASE.md) | >=3.7,<3.9 | 2.36.0 | 1.7.0 | 5.0.0 | 1.15.5 / 2.8.0 | 1.7.0 | 1.7.0 | 0.38.0 | 2.8.0 | 1.7.0 | 1.7.0
[1.6.2](https://github.com/tensorflow/tfx/blob/v1.6.2/RELEASE.md) | >=3.7,<3.9 | 2.35.0 | 1.6.0 | 5.0.0 | 1.15.5 / 2.8.0 | 1.6.0 | 1.6.0 | 0.37.0 | 2.7.0 | 1.6.0 | 1.6.0
[1.6.0](https://github.com/tensorflow/tfx/blob/v1.6.0/RELEASE.md) | >=3.7,<3.9 | 2.35.0 | 1.6.0 | 5.0.0 | 1.15.5 / 2.7.0 | 1.6.0 | 1.6.0 | 0.37.0 | 2.7.0 | 1.6.0 | 1.6.0
[1.5.0](https://github.com/tensorflow/tfx/blob/v1.5.0/RELEASE.md) | >=3.7,<3.9 | 2.34.0 | 1.5.0 | 5.0.0 | 1.15.2 / 2.7.0 | 1.5.0 | 1.5.0 | 0.36.0 | 2.7.0 | 1.5.0 | 1.5.0
[1.4.0](https://github.com/tensorflow/tfx/blob/v1.4.0/RELEASE.md) | >=3.7,<3.9 | 2.33.0 | 1.4.0 | 5.0.0 | 1.15.0 / 2.6.0 | 1.4.0 | 1.4.0 | 0.35.0 | 2.6.0 | 1.4.0 | 1.4.0
[1.3.4](https://github.com/tensorflow/tfx/blob/v1.3.4/RELEASE.md) | >=3.6,<3.9 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0
[1.3.3](https://github.com/tensorflow/tfx/blob/v1.3.3/RELEASE.md) | >=3.6,<3.9 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0
[1.3.2](https://github.com/tensorflow/tfx/blob/v1.3.2/RELEASE.md) | >=3.6,<3.9 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0
[1.3.1](https://github.com/tensorflow/tfx/blob/v1.3.1/RELEASE.md) | >=3.6,<3.9 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0
[1.3.0](https://github.com/tensorflow/tfx/blob/v1.3.0/RELEASE.md) | >=3.6,<3.9 | 2.32.0 | 1.3.0 | 2.0.0 | 1.15.0 / 2.6.0 | 1.3.0 | 1.2.0 | 0.34.1 | 2.6.0 | 1.3.0 | 1.3.0
[1.2.1](https://github.com/tensorflow/tfx/blob/v1.2.1/RELEASE.md) | >=3.6,<3.9 | 2.31.0 | 1.2.0 | 2.0.0 | 1.15.0 / 2.5.0 | 1.2.0 | 1.2.0 | 0.33.0 | 2.5.1 | 1.2.0 | 1.2.0
[1.2.0](https://github.com/tensorflow/tfx/blob/v1.2.0/RELEASE.md) | >=3.6,<3.9 | 2.31.0 | 1.2.0 | 2.0.0 | 1.15.0 / 2.5.0 | 1.2.0 | 1.2.0 | 0.33.0 | 2.5.1 | 1.2.0 | 1.2.0
[1.0.0](https://github.com/tensorflow/tfx/blob/v1.0.0/RELEASE.md) | >=3.6,<3.9 | 2.29.0 | 1.0.0 | 2.0.0 | 1.15.0 / 2.5.0 | 1.0.0 | 1.0.0 | 0.31.0 | 2.5.1 | 1.0.0 | 1.0.0
[0.30.0](https://github.com/tensorflow/tfx/blob/v0.30.0/RELEASE.md) | >=3.6,<3.9 | 2.28.0 | 0.30.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.30.0 | 0.30.0 | 0.30.0 | 2.4.0 | 0.30.0 | 0.30.0
[0.29.0](https://github.com/tensorflow/tfx/blob/v0.29.0/RELEASE.md) | >=3.6,<3.9 | 2.28.0 | 0.29.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.29.0 | 0.29.0 | 0.29.0 | 2.4.0 | 0.29.0 | 0.29.0
[0.28.0](https://github.com/tensorflow/tfx/blob/v0.28.0/RELEASE.md) | >=3.6,<3.9 | 2.28.0 | 0.28.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.28.0 | 0.28.0 | 0.28.0 | 2.4.0 | 0.28.0 | 0.28.1
[0.27.0](https://github.com/tensorflow/tfx/blob/v0.27.0/RELEASE.md) | >=3.6,<3.9 | 2.27.0 | 0.27.0 | 2.0.0 | 1.15.0 / 2.4.0 | 0.27.0 | 0.27.0 | 0.27.0 | 2.4.0 | 0.27.0 | 0.27.0
[0.26.4](https://github.com/tensorflow/tfx/blob/v0.26.4/RELEASE.md) | >=3.6,<3.9 | 2.28.0 | 0.26.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.26.1 | 0.26.0 | 0.26.0 | 2.3.0 | 0.26.0 | 0.26.0
[0.26.3](https://github.com/tensorflow/tfx/blob/v0.26.3/RELEASE.md) | >=3.6,<3.9 | 2.25.0 | 0.26.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.26.0 | 0.26.0 | 0.26.0 | 2.3.0 | 0.26.0 | 0.26.0
[0.26.1](https://github.com/tensorflow/tfx/blob/v0.26.1/RELEASE.md) | >=3.6,<3.9 | 2.25.0 | 0.26.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.26.0 | 0.26.0 | 0.26.0 | 2.3.0 | 0.26.0 | 0.26.0
[0.26.0](https://github.com/tensorflow/tfx/blob/v0.26.0/RELEASE.md) | >=3.6,<3.9 | 2.25.0 | 0.26.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.26.0 | 0.26.0 | 0.26.0 | 2.3.0 | 0.26.0 | 0.26.0
[0.25.0](https://github.com/tensorflow/tfx/blob/v0.25.0/RELEASE.md) | >=3.6,<3.9 | 2.25.0 | 0.24.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.25.0 | 0.25.0 | 0.25.0 | 2.3.0 | 0.25.0 | 0.25.0
[0.24.1](https://github.com/tensorflow/tfx/blob/v0.24.1/RELEASE.md) | >=3.6,<3.9 | 2.24.0 | 0.24.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.24.1 | 0.24.0 | 0.24.3 | 2.3.0 | 0.24.1 | 0.24.1
[0.24.0](https://github.com/tensorflow/tfx/blob/v0.24.0/RELEASE.md) | >=3.6,<3.9 | 2.24.0 | 0.24.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.24.1 | 0.24.0 | 0.24.3 | 2.3.0 | 0.24.1 | 0.24.1
[0.23.1](https://github.com/tensorflow/tfx/blob/v0.23.1/RELEASE.md) | >=3.5,<4 | 2.24.0 | 0.23.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.23.1 | 0.23.0 | 0.23.0 | 2.3.0 | 0.23.0 | 0.23.0
[0.23.0](https://github.com/tensorflow/tfx/blob/v0.23.0/RELEASE.md) | >=3.5,<4 | 2.23.0 | 0.23.0 | 0.17.0 | 1.15.0 / 2.3.0 | 0.23.0 | 0.23.0 | 0.23.0 | 2.3.0 | 0.23.0 | 0.23.0
[0.22.2](https://github.com/tensorflow/tfx/blob/v0.22.2/RELEASE.md) | >=3.5,<4 | 2.21.0 | 0.22.1 | 0.16.0 | 1.15.0 / 2.2.0 | 0.22.2 | 0.22.2 | 0.22.2 | 2.2.0 | 0.22.0 | 0.22.1
[0.22.1](https://github.com/tensorflow/tfx/blob/v0.22.1/RELEASE.md) | >=3.5,<4 | 2.21.0 | 0.22.1 | 0.16.0 | 1.15.0 / 2.2.0 | 0.22.2 | 0.22.2 | 0.22.2 | 2.2.0 | 0.22.0 | 0.22.1
[0.22.0](https://github.com/tensorflow/tfx/blob/v0.22.0/RELEASE.md) | >=3.5,<4 | 2.21.0 | 0.22.0 | 0.16.0 | 1.15.0 / 2.2.0 | 0.22.0 | 0.22.0 | 0.22.1 | 2.2.0 | 0.22.0 | 0.22.0
[0.21.5](https://github.com/tensorflow/tfx/blob/v0.21.5/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.2 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.5 | 0.21.1 | 0.21.5 | 2.1.0 | 0.21.2 | 0.21.4
[0.21.4](https://github.com/tensorflow/tfx/blob/v0.21.4/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.2 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.5 | 0.21.1 | 0.21.5 | 2.1.0 | 0.21.2 | 0.21.4
[0.21.3](https://github.com/tensorflow/tfx/blob/v0.21.3/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.2 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.5 | 0.21.1 | 0.21.5 | 2.1.0 | 0.21.2 | 0.21.4
[0.21.2](https://github.com/tensorflow/tfx/blob/v0.21.2/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.2 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.5 | 0.21.1 | 0.21.5 | 2.1.0 | 0.21.2 | 0.21.4
[0.21.1](https://github.com/tensorflow/tfx/blob/0.21.1/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.2 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.4 | 0.21.1 | 0.21.4 | 2.1.0 | 0.21.2 | 0.21.3
[0.21.0](https://github.com/tensorflow/tfx/blob/0.21.0/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.17.0 | 0.21.0 | 0.15.0 | 1.15.0 / 2.1.0 | 0.21.0 | 0.21.0 | 0.21.1 | 2.1.0 | 0.21.0 | 0.21.0
[0.15.0](https://github.com/tensorflow/tfx/blob/0.15.0/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.16.0 | 0.15.0 | 0.15.0 | 1.15.0 | 0.15.0 | 0.15.0 | 0.15.2 | 1.15.0 | 0.15.0 | 0.15.1
[0.14.0](https://github.com/tensorflow/tfx/blob/0.14.0/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.14.0 | 0.14.0 | 0.14.0 | 1.14.0 | 0.14.1 | 0.14.0 | 0.14.0 | 1.14.0 | 0.14.0 | n/a
[0.13.0](https://github.com/tensorflow/tfx/blob/0.13.0/RELEASE.md) | >=2.7,<3 or >=3.5,<4 | 2.12.0 | 0.13.2 | n/a | 1.13.1 | 0.13.1 | 0.13.0 | 0.13.2 | 1.13.0 | 0.13.0 | n/a
[0.12.0](https://github.com/tensorflow/tfx/blob/0.12.0/RELEASE.md) | >=2.7,<3 | 2.10.0 | 0.13.2 | n/a | 1.12.0 | 0.12.0 | 0.12.1 | 0.12.1 | 1.12.0 | 0.12.0 | n/a
## Resources
* [TFX tutorials ](https://www.tensorflow.org/tfx/tutorials)
* [TensorFlow Extended (YouTube)](https://www.youtube.com/playlist?list=PLQY2H8rRoyvxR15n04JiW0ezF5HQRs_8F)
* [ MLOps Specialization ](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
* [ML Pipelines on Google Cloud](https://www.coursera.org/learn/ml-pipelines-google-cloud?specialization=preparing-for-google-cloud-machine-learning-engineer-professional-certificate)
* [Manage a production ML pipeline with TFX](https://www.youtube.com/watch?v=QQ13-Tkrbls)
* [How to build an ML pipeline with TFX](https://www.youtube.com/watch?v=17l3VR2MIeg)