--- title: "prompt-optimizer vs promptfoo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/linshenkx-prompt-optimizer-vs-promptfoo-promptfoo" tools: ["linshenkx-prompt-optimizer", "promptfoo-promptfoo"] --- # prompt-optimizer vs promptfoo Neutral, constraint-first comparison with live GitHub stats. | | [prompt-optimizer](/tools/linshenkx-prompt-optimizer.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Tagline | An AI prompt optimizer for writing better prompts and getting better AI results. | CLI and library for evaluating and red-teaming LLM apps | | Stars | 31,884 | 23,045 | | Forks | 3,718 | 2,056 | | Open issues | 19 | 404 | | Language | TypeScript | TypeScript | | Adopt for | Prompt Optimizer is an efficient tool designed to enhance the quality of artificial intelligence prompts through optimization, testing, evaluation, and saving them as reusable assets. It supports deployment on web app, a | Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompt-optimizer](/tools/linshenkx-prompt-optimizer.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 19 | 404 | | Owner type | User | Organization | | Full report | [trust report](/tools/linshenkx-prompt-optimizer/trust.md) | [trust report](/tools/promptfoo-promptfoo/trust.md) | **Typed relationship:** prompt-optimizer _(alternative)_ promptfoo Both Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies. ## Decision facts: prompt-optimizer - **Pricing:** unknown - License type: Other. The exact pricing model is unspecified within the data provided. - **Adopt for:** Prompt Optimizer is an efficient tool designed to enhance the quality of artificial intelligence prompts through optimization, testing, evaluation, and saving them as reusable assets. It supports deployment on web app, a ## Decision facts: promptfoo - **Adopt for:** Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 ## Choose when ### Choose prompt-optimizer if… - License: prompt-optimizer is Other, promptfoo is MIT. - Pricing: License type: Other. The exact pricing model is unspecified within the data provided.. - Both Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies. - Tags unique to prompt-optimizer: prompt-toolkit, llm, prompt-tuning, prompt-optimization. - Also covers LLM Frameworks, Developer Tools. - When you need a versatile platform that can deploy across different environments such as a web application, desktop application, Chrome extension, or Docker. ### Choose promptfoo if… - License: promptfoo is MIT, prompt-optimizer is Other. - Both Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies. - Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, ci. - Also covers Evaluation & Observability. - When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ## When NOT to use prompt-optimizer - If you prefer a tool that does not offer deployment flexibility across multiple platforms, as Prompt Optimizer supports diverse methods including web app, desktop app, Chrome extension, and Docker. - When your project requires specific features not mentioned in the repository README or focuses on aspects irrelevant to prompt optimization, testing, evaluation, and reusability. ## When NOT to use promptfoo - When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. - If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ## Common questions ### What is the difference between prompt-optimizer and promptfoo? prompt-optimizer: An AI prompt optimizer for writing better prompts and getting better AI results.. promptfoo: CLI and library for evaluating and red-teaming LLM apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompt-optimizer over promptfoo? Choose prompt-optimizer over promptfoo when License: prompt-optimizer is Other, promptfoo is MIT; Pricing: License type: Other. The exact pricing model is unspecified within the data provided.; Both Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies; Tags unique to prompt-optimizer: prompt-toolkit, llm, prompt-tuning, prompt-optimization; Also covers LLM Frameworks, Developer Tools; When you need a versatile platform that can deploy across different environments such as a web application, desktop application, Chrome extension, or Docker. ### When should I choose promptfoo over prompt-optimizer? Choose promptfoo over prompt-optimizer when License: promptfoo is MIT, prompt-optimizer is Other; Both Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies; Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, ci; Also covers Evaluation & Observability; When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ### When should I avoid prompt-optimizer? If you prefer a tool that does not offer deployment flexibility across multiple platforms, as Prompt Optimizer supports diverse methods including web app, desktop app, Chrome extension, and Docker. When your project requires specific features not mentioned in the repository README or focuses on aspects irrelevant to prompt optimization, testing, evaluation, and reusability. ### When should I avoid promptfoo? When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ### Is prompt-optimizer or promptfoo more popular on GitHub? prompt-optimizer has more GitHub stars (31,884 vs 23,045). Stars measure visibility, not whether either tool fits your constraints. ### Are prompt-optimizer and promptfoo open source? Yes - both are open-source projects on GitHub (prompt-optimizer: Other, promptfoo: MIT). ### Where can I find alternatives to prompt-optimizer or promptfoo? GraphCanon lists graph-backed alternatives at /tools/linshenkx-prompt-optimizer/alternatives and /tools/promptfoo-promptfoo/alternatives (/tools/linshenkx-prompt-optimizer/alternatives.md, /tools/promptfoo-promptfoo/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 /compare/linshenkx-prompt-optimizer-vs-promptfoo-promptfoo.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompt-optimizer or promptfoo? prompt-optimizer: Very active. promptfoo: Very active. 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 prompt-optimizer and promptfoo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompt-optimizer: /tools/linshenkx-prompt-optimizer/trust; promptfoo: /tools/promptfoo-promptfoo/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=linshenkx-prompt-optimizer`](/api/graphcanon/graph?tool=linshenkx-prompt-optimizer) - 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/_