TensorFlow Extended (TFX)
TensorFlow Extended (TFX) is an end-to-end machine learning platform for deploying production ML pipelines with components for data validation, transformation, training, and serving.
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Competition
Competes With
90% confident
mlflow
Direct competitors
Competes With
80% confident
kubeflow
Direct competitors
Competes With
90% confident
amazon sagemaker
Direct competitors
Competes With
80% confident
azure machine learning
Direct competitors
Competes With
70% confident
zenml
Direct competitors
Alternative To
80% confident
metaflow
Can replace or substitute
Alternative To
70% confident
kedro
Can replace or substitute
Alternative To
60% confident
apache airflow
Can replace or substitute
Integration
Integrates With
100% confident
apache airflow
Official integration support
Integrates With
100% confident
kubeflow pipelines
Official integration support
Integrates With
100% confident
vertex ai
Official integration support
Integrates With
90% confident
google cloud dataflow
Official integration support
Integrates With
90% confident
tensorboard
Official integration support
Dependencies
Depends On
100% confident
apache beam
Requires for operation
Built On
100% confident
tensorflow
Foundation technology
Depends On
100% confident
ml metadata
Requires for operation
Powers
90% confident
tensorflow serving
Provides core functionality
Depends On
100% confident
python
Requires for operation
Depends On
90% confident
pyarrow
Requires for operation