evaluai

Evaluai is an open-source platform for designing, executing, and comparing AI evaluations. It provides a centralized framework for defining tasks, datasets, metrics, and submission formats to enable reproducible benchmarking across researchers and organizations. The system prioritizes modularity, allowing new metrics and data pipelines to be plugged in without rewriting core components.

Key features include task hosting with data versioning, a submission and scoring system, and customizable evaluation backends. Evaluations run in scalable compute environments via containerized workers, with provenance, timestamps, and audit trails recorded for each result. An API and client libraries enable integration with experimental pipelines, while role-based access controls manage contributors, organizers, and reviewers. The platform supports multiple data modalities and task bundles, along with plugin extensions for metrics and data loaders.

Evaluai originated as an open-source effort by researchers and practitioners aiming to improve reproducibility in AI benchmarking. Since its early releases, it has been adopted by universities, industry groups, and public benchmarks to host challenges, publish leaderboard results, and standardize evaluation procedures. It is commonly used for image, text, audio, and multimodal tasks, with an emphasis on transparent scoring and auditable results.

Licensing has varied by release, but most distributions are released under permissive licenses that encourage collaboration. Governance tends to be community-driven, with contributors maintaining task templates, metrics, and evaluation protocols to ensure compatibility and longevity.