OpenAI Evals
https://github.com/openai/evals
OpenAI's open-source framework and registry of benchmarks for evaluating LLMs and LLM systems.
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 14 cited facts, 0 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Tier
- T3
- Created
- 2023-01-23 repo fix
- Latest release
- last commit 2026-04-14 repo fix
- GitHub
- https://github.com/openai/evals (19675★) repo fix
- Pricing
- searched not found fix
- Funding
- searched not found fix
- Freshness
- 2026-10-29 fix
- Layer
- agent-infra repo fix
- Licensing
- open-source repo fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
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Cons
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Claims & capabilities
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
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- A2A
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- OpenTelemetry
- searched not found
Similar systems
Other evaluation & observability platforms in the catalog, ranked by inbound references.
- Arize Phoenix T1
Arize AI's open-source LLM observability tool — OpenTelemetry-native LLM tracing, evals, datasets. Arize commercial offers Phoenix + Surveyor.
- Arize AI T1
Production ML monitoring + LLM observability (Arize AX) — drift, eval, root-cause. Pre-LLM observability leader; now LLM-pivoted.
- Braintrust T1
Eval-first LLM platform — datasets, eval runs, prompt playground, tracing. Founded by ex-Impira (acquired by Dropbox) team. Used by Notion, Brex, AirOps.
- Confident AI / DeepEval T2
Open-source DeepEval framework + Confident AI cloud — pytest-style eval runs, hallucination/relevance/bias metrics, datasets.
- OpenLLMetry (Traceloop) T2
Traceloop's open-source OpenTelemetry auto-instrumentation for LLM workflows — works with any OTel-compatible backend (Datadog, New Relic, Grafana, etc.).
- Helicone T2
Open-source LLM observability and AI gateway — one-line proxy integration captures every LLM call; sessions, custom properties, evals. Acquired by Mintlify in Mar 2026 and placed in maintenance mode; helicone.ai now states it is no longer part of Mintlify.
Sources (13 cited facts, 0 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Framework repo
- What it does & what's distinct OpenAI's open-source framework and registry of benchmarks for evaluating LLMs and LLM sy… repo
- Claims / benefits Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of… repo
- Created 2023-01-23 repo
- Latest release last commit 2026-04-14 repo
- License MIT repo
- GitHub https://github.com/openai/evals (19675★) repo
- Mindshare 19675 GitHub stars repo
- Project & sources https://github.com/openai/evals repo
- eval-weights-and-biases-agent yes repo
- licensing-bucket open-source repo
- taxonomy-three-layer-rollup agent-infra repo
- sdk-languages python repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-30 Added to the catalog #347
Related systems
References (1)
- Weights & Biases integrates with — OpenAI Evals README says evals can also be run and created using Weights & Biases. (verified 2026-10-29)