--- title: "auto-evaluator vs simple-evals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-auto-evaluator-vs-openai-simple-evals" tools: ["langchain-ai-auto-evaluator", "openai-simple-evals"] --- # auto-evaluator vs simple-evals *GraphCanon updated Aug 8, 2026* ## Verdict Pick auto-evaluator when auto-evaluator is primarily TypeScript; simple-evals is Python; pick simple-evals when simple-evals is primarily Python; auto-evaluator is TypeScript. [auto-evaluator](https://autoevaluator.langchain.com/) reports 783 GitHub stars, 102 forks, and 21 open issues, last pushed Jun 26, 2025. [simple-evals](https://github.com/openai/simple-evals) has 4.6k stars, 501 forks, and 56 open issues, last pushed Apr 22, 2026. Figures are from public GitHub metadata via [auto-evaluator's repository](https://github.com/langchain-ai/auto-evaluator) and [simple-evals's repository](https://github.com/openai/simple-evals). | | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | [simple-evals](/tools/openai-simple-evals.md) | | --- | --- | --- | | Tagline | auto-evaluator | A lightweight library for evaluating language models. | | Stars | 783 | 4,595 | | Forks | 102 | 501 | | Open issues | 21 | 56 | | Language | TypeScript | Python | | Adopt for | - | simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT licensed Python library for transparent language model evaluations with specific benchmark support until July 2025. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | [simple-evals](/tools/openai-simple-evals.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 408d | 106d | | Archived on GitHub | Yes | No | | Open issues (now) | 21 | 56 | | Full report | [trust report](/tools/langchain-ai-auto-evaluator/trust.md) | [trust report](/tools/openai-simple-evals/trust.md) | ## Decision facts: simple-evals - **Adopt for:** simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025. - **License detail:** MIT licensed Python library for transparent language model evaluations with specific benchmark support until July 2025. ## Choose when ### Choose auto-evaluator if… - auto-evaluator is primarily TypeScript; simple-evals is Python. - License: auto-evaluator is Other, simple-evals is MIT. - Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel. - Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models ### Choose simple-evals if… - simple-evals is primarily Python; auto-evaluator is TypeScript. - License: simple-evals is MIT, auto-evaluator is Other. - Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models. - When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025 ## When NOT to use auto-evaluator - Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript - Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway ## When NOT to use simple-evals - For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks - When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025 ## Common questions ### What is the difference between auto-evaluator and simple-evals? auto-evaluator: auto-evaluator. simple-evals: A lightweight library for evaluating language models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-evaluator over simple-evals? Choose auto-evaluator over simple-evals when auto-evaluator is primarily TypeScript; simple-evals is Python; License: auto-evaluator is Other, simple-evals is MIT; Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel; Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models. ### When should I choose simple-evals over auto-evaluator? Choose simple-evals over auto-evaluator when simple-evals is primarily Python; auto-evaluator is TypeScript; License: simple-evals is MIT, auto-evaluator is Other; Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models; When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025. ### When should I avoid auto-evaluator? Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway ### When should I avoid simple-evals? For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025 ### Is auto-evaluator or simple-evals more popular on GitHub? simple-evals has more GitHub stars (4,595 vs 783). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-evaluator and simple-evals open source? Yes - both are open-source projects on GitHub (auto-evaluator: Other, simple-evals: MIT). ### Where can I find alternatives to auto-evaluator or simple-evals? GraphCanon lists graph-backed alternatives at [auto-evaluator alternatives](/tools/langchain-ai-auto-evaluator/alternatives) and [simple-evals alternatives](/tools/openai-simple-evals/alternatives) ([auto-evaluator markdown twin](/tools/langchain-ai-auto-evaluator/alternatives.md), [simple-evals markdown twin](/tools/openai-simple-evals/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/langchain-ai-auto-evaluator-vs-openai-simple-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-evaluator or simple-evals? auto-evaluator: Archived. simple-evals: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for auto-evaluator and simple-evals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-evaluator trust report](/tools/langchain-ai-auto-evaluator/trust); [simple-evals trust report](/tools/openai-simple-evals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-auto-evaluator`](/api/graphcanon/graph?tool=langchain-ai-auto-evaluator) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_