OpenML

6.7easy start · #17 of 37
in ML Experiment Tracking Software

Runs on api, Web.

OpenML is ranked #17 of 37 in ML experiment tracking software on The Geeks Club. It runs on API, Web. There is a free plan.

OpenML plans and pricing

Free Free Open access; account required to upload resources; rate limits apply to unauthenticated data access docs.openml.org · 4 Oct 2026

Comet 0 of 4 in the starter kit Lesson 18.0 Weights & Biases 0 of 4 in the starter kit Lesson 28.0 GitLab Package Registry 0 of 4 in the starter kit Lesson 37.7 MLRun 0 of 4 in the starter kit Lesson 47.7 Amazon SageMaker Autopilot 0 of 4 in the starter kit Lesson 57.6 DagsHub 0 of 4 in the starter kit Lesson 67.6

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

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