--- title: "chatgpt-plugin-eval vs evals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/llm-platform-security-chatgpt-plugin-eval-vs-openai-evals" tools: ["llm-platform-security-chatgpt-plugin-eval", "openai-evals"] --- # chatgpt-plugin-eval vs evals *GraphCanon updated Aug 7, 2026* ## Verdict Pick chatgpt-plugin-eval if 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; pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom. [chatgpt-plugin-eval](https://llm-platform-security.github.io/chatgpt-plugin-eval/) reports 29 GitHub stars, 7 forks, and 1 open issues, last pushed Jul 29, 2024. [evals](https://github.com/openai/evals) has 19k stars, 3.0k forks, and 213 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval) and [evals's repository](https://github.com/openai/evals). | | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Tagline | Framework for Evaluating Security in LLM Plugin Ecosystems | Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks. | | Stars | 29 | 19,127 | | Forks | 7 | 3,050 | | Open issues | 1 | 213 | | Language | HTML | Python | | 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. | Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. | | Persona | - | - | | Runtime | - | - | | License | The license information for chatgpt-plugin-eval is unknown. | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 736d | 115d | | Open issues (now) | 1 | 213 | | Full report | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) | [trust report](/tools/openai-evals/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. ## Decision facts: evals - **Adopt for:** Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. ## Choose when ### Choose chatgpt-plugin-eval if… - chatgpt-plugin-eval is primarily HTML; evals is Python. - 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 ### Choose evals if… - evals is primarily Python; chatgpt-plugin-eval is HTML. - Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models. - * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem. ## 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 ## When NOT to use evals - * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. - * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a ## Common questions ### What is the difference between chatgpt-plugin-eval and evals? chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories. ### When should I choose chatgpt-plugin-eval over evals? Choose chatgpt-plugin-eval over evals when chatgpt-plugin-eval is primarily HTML; evals is Python; 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 choose evals over chatgpt-plugin-eval? Choose evals over chatgpt-plugin-eval when evals is primarily Python; chatgpt-plugin-eval is HTML; Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem. ### 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 ### When should I avoid evals? * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a ### Is chatgpt-plugin-eval or evals more popular on GitHub? evals has more GitHub stars (19,127 vs 29). Stars measure visibility, not whether either tool fits your constraints. ### Are chatgpt-plugin-eval and evals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to chatgpt-plugin-eval or evals? GraphCanon lists graph-backed alternatives at [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) and [evals alternatives](/tools/openai-evals/alternatives) ([chatgpt-plugin-eval markdown twin](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives.md), [evals markdown twin](/tools/openai-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/llm-platform-security-chatgpt-plugin-eval-vs-openai-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chatgpt-plugin-eval or evals? chatgpt-plugin-eval: Dormant. 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 chatgpt-plugin-eval and evals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatgpt-plugin-eval trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust); [evals trust report](/tools/openai-evals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=llm-platform-security-chatgpt-plugin-eval`](/api/graphcanon/graph?tool=llm-platform-security-chatgpt-plugin-eval) - 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/_