OpenMetadata
6.1#4 in machine learning data catalog softwareFree planFree planWebAPISelf-hosted
VisitOpenMetadata vs OpenML
What both publish
| Fact | OpenMetadata | OpenML |
|---|---|---|
| Authentication | The deployment security guide lists Google, Okta, custom OIDC, Auth0, Azure, Amazon Cognito, and OneLogin identity providers, and says simultaneous use of multiple authentication mechanisms is unsupported. | API authentication uses a key available from a signed-in user's profile. |
| Integrations | Its ingestion framework supports connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake, and Tableau. | The documentation lists integrations for Python/scikit-learn, PyTorch, TensorFlow, R, Julia, Rust, and .NET. |
| Purpose | OpenMetadata unifies technical context, business semantics, and organizational memory in a knowledge graph for people and AI agents. | OpenML is an open platform for sharing datasets, algorithms, and experiments for machine learning. |
OpenMetadata plans
- OpenMetadata (self-hosted)Free
OpenML plans
- FreeFree
Pick OpenMetadata if…
You want what its maker publishes above — check its page for the details.
Pick OpenML if…
OpenML suits people who need to share or reproduce machine-learning experiments and datasets. It may also fit educators and developers working with its listed language and framework integrations.