--- title: "chatgpt-plugin-eval vs gpt4all" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/llm-platform-security-chatgpt-plugin-eval-vs-nomic-ai-gpt4all" tools: ["llm-platform-security-chatgpt-plugin-eval", "nomic-ai-gpt4all"] --- # chatgpt-plugin-eval vs gpt4all *GraphCanon updated Jul 12, 2026* ## Verdict Pick chatgpt-plugin-eval when chatgpt-plugin-eval is primarily HTML; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; chatgpt-plugin-eval is HTML. [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. [gpt4all](https://nomic.ai/gpt4all) has 77k stars, 8.3k forks, and 768 open issues, last pushed May 27, 2025. Figures are from public GitHub metadata via [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval) and [gpt4all's repository](https://github.com/nomic-ai/gpt4all). | | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Tagline | LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins | Run Local LLMs on Any Device | | Stars | 29 | 77,386 | | Forks | 7 | 8,304 | | Open issues | 1 | 768 | | Language | HTML | C++ | | Adopt for | - | GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Days since push | 712d | 409d | | Open issues (now) | 1 | 768 | | Full report | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) | [trust report](/tools/nomic-ai-gpt4all/trust.md) | ## Decision facts: gpt4all - **Adopt for:** GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++. ## Choose when ### Choose chatgpt-plugin-eval if… - chatgpt-plugin-eval is primarily HTML; gpt4all is C++. - Tags unique to chatgpt-plugin-eval: chatgpt, chatgpt-plugins, llm, llm-platform. - Also covers Evaluation & Observability. ### Choose gpt4all if… - gpt4all is primarily C++; chatgpt-plugin-eval is HTML. - Tags unique to gpt4all: ai-chat, llm-inference. - - When you require on-device inference capabilities without reliance on cloud services. ## When NOT to use chatgpt-plugin-eval - Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on chatgpt-plugin-eval. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use gpt4all - - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments. ## Common questions ### What is the difference between chatgpt-plugin-eval and gpt4all? chatgpt-plugin-eval: LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories. ### When should I choose chatgpt-plugin-eval over gpt4all? Choose chatgpt-plugin-eval over gpt4all when chatgpt-plugin-eval is primarily HTML; gpt4all is C++; Tags unique to chatgpt-plugin-eval: chatgpt, chatgpt-plugins, llm, llm-platform; Also covers Evaluation & Observability. ### When should I choose gpt4all over chatgpt-plugin-eval? Choose gpt4all over chatgpt-plugin-eval when gpt4all is primarily C++; chatgpt-plugin-eval is HTML; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services. ### When should I avoid chatgpt-plugin-eval? Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on chatgpt-plugin-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid gpt4all? - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments. ### Is chatgpt-plugin-eval or gpt4all more popular on GitHub? gpt4all has more GitHub stars (77,386 vs 29). Stars measure visibility, not whether either tool fits your constraints. ### Are chatgpt-plugin-eval and gpt4all open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to chatgpt-plugin-eval or gpt4all? GraphCanon lists graph-backed alternatives at [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) and [gpt4all alternatives](/tools/nomic-ai-gpt4all/alternatives) ([chatgpt-plugin-eval markdown twin](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives.md), [gpt4all markdown twin](/tools/nomic-ai-gpt4all/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-nomic-ai-gpt4all.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 gpt4all? chatgpt-plugin-eval: Dormant. gpt4all: 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 chatgpt-plugin-eval and gpt4all? 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); [gpt4all trust report](/tools/nomic-ai-gpt4all/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/_