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OpenML

OpenML is a free, open platform for sharing machine-learning datasets, algorithms, and experiments through the web and an API.

Place
#5 of 14
Score
6.1
OpenML's website

What OpenML is

OpenML is a free, open platform for sharing machine-learning datasets, algorithms, and experiments through the web and an API. Its datasets are uniformly formatted, versioned, and ready to load, while standardized tasks provide predefined train/test splits and fixed evaluation protocols. OpenML tracks experiment details such as algorithms, hyperparameters, datasets, metrics, and hardware. It can automatically track and share pipelines, called flows, and experiment runs. Integrations are listed for Python with scikit-learn, PyTorch, TensorFlow, R, Julia, Rust, and .NET. A REST API supports uploading and downloading resources through XML and JSON endpoints. Datasets, flows, and runs can receive DOIs for citation. Data can be accessed without an account, though rate limits apply; uploading and managing resources requires an account, and API authentication uses a key from a signed-in profile. OpenML describes its community as including researchers, developers, data scientists, educators, and enthusiasts.

Good

  • Free access to datasets and other resources.
  • Versioned datasets use a uniform format.
  • Standard tasks specify splits and evaluation protocols.
  • Tracks and shares flows and experiment runs.
  • DOIs support citation of datasets, flows, and runs.

Watch out

  • Unauthenticated access is subject to rate limits.
  • Uploading and managing resources requires an account.
  • API authentication requires a signed-in user's key.

Who it suits

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.

Verdict

OpenML combines dataset sharing, experiment tracking, and standardized benchmarking in one platform. Public data access does not require an account, but uploads and resource management do.

Plans and prices

From OpenML's own pricing page, checked 4 Oct 2026.

All about pricing
PlanPriceWhat it gives you
FreeFreeOpen access; account required to upload resources; rate limits apply to unauthenticated data access

The facts

Each one read from OpenML's own pages, with the date it was checked.

What it does

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

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