--- title: "auto-evaluator vs chatgpt-plugin-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-auto-evaluator-vs-llm-platform-security-chatgpt-plugin-eval" tools: ["langchain-ai-auto-evaluator", "llm-platform-security-chatgpt-plugin-eval"] --- # auto-evaluator vs chatgpt-plugin-eval *GraphCanon updated Aug 8, 2026* ## Verdict Pick auto-evaluator when auto-evaluator is primarily TypeScript; chatgpt-plugin-eval is HTML; pick chatgpt-plugin-eval when chatgpt-plugin-eval is primarily HTML; 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. [chatgpt-plugin-eval](https://llm-platform-security.github.io/chatgpt-plugin-eval/) has 29 stars, 7 forks, and 1 open issues, last pushed Jul 29, 2024. Figures are from public GitHub metadata via [auto-evaluator's repository](https://github.com/langchain-ai/auto-evaluator) and [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval). | | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | | --- | --- | --- | | Tagline | auto-evaluator | Framework for Evaluating Security in LLM Plugin Ecosystems | | Stars | 783 | 29 | | Forks | 102 | 7 | | Open issues | 21 | 1 | | Language | TypeScript | HTML | | Adopt for | - | chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT. | | Persona | - | - | | Runtime | - | - | | License | Other | The license information for chatgpt-plugin-eval is unknown. | | 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) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Dormant (18%) | | Days since push | 408d | 736d | | Archived on GitHub | Yes | No | | Open issues (now) | 21 | 1 | | Full report | [trust report](/tools/langchain-ai-auto-evaluator/trust.md) | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) | ## Decision facts: chatgpt-plugin-eval - **Pricing:** freemium - **Adopt for:** chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT. - **License detail:** The license information for chatgpt-plugin-eval is unknown. ## Choose when ### Choose auto-evaluator if… - auto-evaluator is primarily TypeScript; chatgpt-plugin-eval is HTML. - 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 chatgpt-plugin-eval if… - chatgpt-plugin-eval is primarily HTML; auto-evaluator is TypeScript. - Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security. - - When evaluating the security risks of integrating third-party services into your LLM platform through plugins ## 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 chatgpt-plugin-eval - - In cases where only generic, high-level security guidance is required without an in-depth framework analysis - - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins ## Common questions ### What is the difference between auto-evaluator and chatgpt-plugin-eval? auto-evaluator: auto-evaluator. chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-evaluator over chatgpt-plugin-eval? Choose auto-evaluator over chatgpt-plugin-eval when auto-evaluator is primarily TypeScript; chatgpt-plugin-eval is HTML; 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 chatgpt-plugin-eval over auto-evaluator? Choose chatgpt-plugin-eval over auto-evaluator when chatgpt-plugin-eval is primarily HTML; auto-evaluator is TypeScript; Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins. ### 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 chatgpt-plugin-eval? - In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins ### Is auto-evaluator or chatgpt-plugin-eval more popular on GitHub? auto-evaluator has more GitHub stars (783 vs 29). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-evaluator and chatgpt-plugin-eval open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to auto-evaluator or chatgpt-plugin-eval? GraphCanon lists graph-backed alternatives at [auto-evaluator alternatives](/tools/langchain-ai-auto-evaluator/alternatives) and [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) ([auto-evaluator markdown twin](/tools/langchain-ai-auto-evaluator/alternatives.md), [chatgpt-plugin-eval markdown twin](/tools/llm-platform-security-chatgpt-plugin-eval/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-llm-platform-security-chatgpt-plugin-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-evaluator or chatgpt-plugin-eval? auto-evaluator: Archived. chatgpt-plugin-eval: Dormant. 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 chatgpt-plugin-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-evaluator trust report](/tools/langchain-ai-auto-evaluator/trust); [chatgpt-plugin-eval trust report](/tools/llm-platform-security-chatgpt-plugin-eval/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/_