Apache Airflow is a platform to programmatically author, schedule and monitor workflows.
Open-source
Best TensorFlow Extended (TFX) Alternatives ranked by AI · updated May 2025
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TFX is an end-to-end platform for deploying production-ready machine learning pipelines.
Price: Free
Top 6 TensorFlow Extended (TFX) alternatives
Syberia is an open-source framework for the development of machine learning models in production. It focuses on reproducibility, scalability, and easy deployment.
Pachyderm is an open-source data versioning and data pipeline management platform.
Free tier available. Paid plans start from $99 per user per month.
Azure Machine Learning is a managed cloud platform for building, training, deploying, and monitoring machine learning models. It serves data scientists, ML...
Pros
- Strong integration with Azure data, identity, networking, and governance services
- Supports managed training, automated ML, model registries, endpoints, and monitoring
- Provides enterprise security and private networking options
Cons
- Costs can be difficult to forecast across compute, storage, and managed endpoints
- More Azure-specific than cloud-neutral platforms such as Kubeflow
- Some advanced workflows require substantial configuration and platform expertise
Pay-as-you-go; workspace free, compute and services billed by usage
Seldon is an open-source platform that helps deploy machine learning models at scale.
Open-source
Kubeflow is an open-source machine learning platform based on Kubernetes for data scientists and ML engineers.
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