On the recordRead 4 Oct 202612 facts
OpenML
Plans and prices
Free
Free
Open access; account required to upload resources; rate limits apply to unauthenticated data access
Read 4 Oct 2026 · docs.openml.org
On the record
- Access limit
- Data can be accessed without an account, subject to rate limits; an account is required to upload and manage resources.docs.openml.org · read 4 Oct 2026
- API
- OpenML offers a REST API for uploading and downloading machine learning resources, with XML and JSON endpoints.docs.openml.org · read 4 Oct 2026
- Authentication
- API authentication uses a key available from a signed-in user's profile.docs.openml.org · read 4 Oct 2026
- Benchmarking
- OpenML provides standardized tasks with predefined train/test splits and fixed evaluation protocols.beta.openml.org · read 4 Oct 2026
- Citations
- OpenML supports DOI generation for datasets, flows, and runs so they can be cited.beta.openml.org · read 4 Oct 2026
- Datasets
- OpenML says its datasets are uniformly formatted, versioned, and ready to load.beta.openml.org · read 4 Oct 2026
- Experiment tracking
- OpenML supports automatic tracking and sharing of pipelines, called flows, and experiment runs.beta.openml.org · read 4 Oct 2026
- Integrations
- The documentation lists integrations for Python/scikit-learn, PyTorch, TensorFlow, R, Julia, Rust, and .NET.docs.openml.org · read 4 Oct 2026
- Purpose
- OpenML is an open platform for sharing datasets, algorithms, and experiments for machine learning.beta.openml.org · read 4 Oct 2026
- Reproducibility
- OpenML tracks experiment metadata including algorithms, hyperparameters, datasets, metrics, and hardware.beta.openml.org · read 4 Oct 2026
- Support
- OpenML lists its community discussions and the contact address [email protected].beta.openml.org · read 4 Oct 2026
- Who it serves
- OpenML describes its community as researchers, developers, data scientists, educators, and enthusiasts.beta.openml.org · read 4 Oct 2026
