--- title: "do-not-answer vs chatgpt-plugin-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/libr-ai-do-not-answer-vs-llm-platform-security-chatgpt-plugin-eval" tools: ["libr-ai-do-not-answer", "llm-platform-security-chatgpt-plugin-eval"] --- # do-not-answer vs chatgpt-plugin-eval *GraphCanon updated Aug 5, 2026* ## Verdict Pick do-not-answer if dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses; 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. [do-not-answer](https://github.com/Libr-AI/do-not-answer) reports 339 GitHub stars, 29 forks, and 0 open issues, last pushed Jun 7, 2024. [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 [do-not-answer's repository](https://github.com/Libr-AI/do-not-answer) and [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval). | | [do-not-answer](/tools/libr-ai-do-not-answer.md) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | | --- | --- | --- | | Tagline | A Dataset for Evaluating Safeguards in LLMs | Framework for Evaluating Security in LLM Plugin Ecosystems | | Stars | 339 | 29 | | Forks | 29 | 7 | | Open issues | 0 | 1 | | Language | Jupyter Notebook | HTML | | Adopt for | Dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses. | 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 | Dual licensing model, datasets under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and source files under Apache 2.0 license. | 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._ | | [do-not-answer](/tools/libr-ai-do-not-answer.md) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | | --- | --- | --- | | Days since push | 788d | 736d | | Open issues (now) | 0 | 1 | | Full report | [trust report](/tools/libr-ai-do-not-answer/trust.md) | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) | ## Decision facts: do-not-answer - **Adopt for:** Dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses. - **License detail:** Dual licensing model, datasets under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and source files under Apache 2.0 license. ## 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 do-not-answer if… - do-not-answer is primarily Jupyter Notebook; chatgpt-plugin-eval is HTML. - Tags unique to do-not-answer: datasets, ethical ai, llm-evaluation, safeguard testing. - To assess the reliability of safeguards implemented in your Large Language Model. ### Choose chatgpt-plugin-eval if… - chatgpt-plugin-eval is primarily HTML; do-not-answer is Jupyter Notebook. - 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 do-not-answer - If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them. - Your project does not involve assessing ethical compliance or safeguard measures within language models. ## 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 do-not-answer and chatgpt-plugin-eval? do-not-answer: A Dataset for Evaluating Safeguards in LLMs. 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 do-not-answer over chatgpt-plugin-eval? Choose do-not-answer over chatgpt-plugin-eval when do-not-answer is primarily Jupyter Notebook; chatgpt-plugin-eval is HTML; Tags unique to do-not-answer: datasets, ethical ai, llm-evaluation, safeguard testing; To assess the reliability of safeguards implemented in your Large Language Model. ### When should I choose chatgpt-plugin-eval over do-not-answer? Choose chatgpt-plugin-eval over do-not-answer when chatgpt-plugin-eval is primarily HTML; do-not-answer is Jupyter Notebook; 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 do-not-answer? If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them. Your project does not involve assessing ethical compliance or safeguard measures within language models. ### 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 do-not-answer or chatgpt-plugin-eval more popular on GitHub? do-not-answer has more GitHub stars (339 vs 29). Stars measure visibility, not whether either tool fits your constraints. ### Are do-not-answer and chatgpt-plugin-eval open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to do-not-answer or chatgpt-plugin-eval? GraphCanon lists graph-backed alternatives at [do-not-answer alternatives](/tools/libr-ai-do-not-answer/alternatives) and [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) ([do-not-answer markdown twin](/tools/libr-ai-do-not-answer/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/libr-ai-do-not-answer-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, do-not-answer or chatgpt-plugin-eval? do-not-answer: Dormant. 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 do-not-answer and chatgpt-plugin-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [do-not-answer trust report](/tools/libr-ai-do-not-answer/trust); [chatgpt-plugin-eval trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=libr-ai-do-not-answer`](/api/graphcanon/graph?tool=libr-ai-do-not-answer) - 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/_