17.5
AndroidiOSAPI
Best Machine Learning Data Catalog Software in 2026
Machine learning data catalog software helps teams organize ML assets and track how data moves through workflows. Compare coverage for ML assets, lineage, dataset versions, quality checks, access policies and deployment options. Android apps are available in this category, alongside web, API, self-hosted, macOS and iOS options. Check the platform list and the mobile experience you need before choosing a tool.
26.9
Hugging Face Hub is a cloud platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and apps.
Free planWebAPILinux
36.5
WebAPISelf-hosted
- 4
OpenMetadata
Free planWebAPISelf-hosted6.2Free plan - 5
OpenML
OpenML is a free, open platform for sharing machine-learning datasets, algorithms, and experiments through the web and an API.
Free planWebAPI6.1Free plan - 6
DataHub Cloud
DataHub Cloud automatically captures data lineage and presents downstream impact in real time.
WebAPI5.7 - 75.7From $83.30 a month
- 8
Atlan Lakehouse
Atlan Context Lakehouse is a knowledge architecture for storing, managing, and serving the context AI agents need to work at enterprise scale.
WebAPISelf-hosted5.6 - 9
Collibra
Collibra is a data platform that connects the people who produce data with those who use it, bringing structured and unstructured sources into a…
WebAPIExtensionSelf-hosted5.6 - 10
4.9 - 114.8
- 124.8
- 134.6
- 144.6
Choosing well
Check platform access
The category includes web, API, self-hosted, macOS, iOS and Android platforms. Confirm that a product supports the devices and operating systems your team uses.
A web catalog may suit browser-based work, while an API or self-hosted option can fit a controlled deployment.
Compare free and paid entry
A free plan or free trial can let you inspect a catalog before paying. Check the listing for the exact offer, since pricing models vary.
Hugging Face Hub lists a free plan and paid service from $9 per month. IBM watsonx.data lists pricing from $1. Other listings show pricing on request.
Match ML asset coverage
Compare how a product covers machine learning assets and whether it records ML data lineage. These details affect how you find assets and follow their movement.
Look for coverage that matches your datasets and related ML work rather than choosing by catalog name alone.
Review data controls
Dataset versioning and data quality checks help you compare changes and inspect data before deployment. Access policy controls show how permissions are handled.
Check which of these capabilities are included in the plan you are considering.
Plan the deployment
Deployment is a comparison point for this category. Check whether the product fits a web, API or self-hosted setup and whether its supported platforms match your operating needs.
Questions people ask
Are Android apps available for machine learning data catalogs?
Android is one of the platforms represented in this category. Check the individual product listing for its supported platforms and mobile coverage.
Can I find a free plan?
A free plan is offered by products in this category. Hugging Face Hub lists a free plan; OpenMetadata is listed as free and open source.
Do these tools offer free trials?
A free trial is available from products in this category. Check the product listing for trial terms before signing up.
Is pricing shown for every product?
Pricing models differ. Listings can show a free plan, paid service, a starting price or pricing on request.
Which capabilities should I compare?
Compare ML asset coverage, ML data lineage, dataset versioning, data quality checks, access policy controls and deployment.