Comparison
prompt-optimizer vs promptfoo
Verdict
Pick prompt-optimizer if prompt-optimizer enhances the quality of user-generated prompts meant for large language models (LLMs), written in TypeScript and falls under the categories of Developer Tools and Evaluation & Observability; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Markdown twin · prompt-optimizer alternatives · promptfoo alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | prompt-optimizer | promptfoo |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- prompt-optimizer
- An AI prompt optimizer for writing better prompts and getting better AI results.
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
Stars
- prompt-optimizer
- 33k
- promptfoo
- 24k
Forks
- prompt-optimizer
- 3.9k
- promptfoo
- 2.1k
Open issues
- prompt-optimizer
- 7
- promptfoo
- 481
Language
- prompt-optimizer
- TypeScript
- promptfoo
- TypeScript
Adopt for
- prompt-optimizer
- prompt-optimizer enhances the quality of user-generated prompts meant for large language models (LLMs), written in TypeScript and falls under the categories of Developer Tools and Evaluation & Observability.
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Persona
- prompt-optimizer
- -
- promptfoo
- -
Runtime
- prompt-optimizer
- -
- promptfoo
- -
License
- prompt-optimizer
- Other
- promptfoo
- MIT
Last pushed
- prompt-optimizer
- Aug 13, 2026
- promptfoo
- Aug 1, 2026
Categories
- prompt-optimizer
- Developer Tools, Evaluation & Observability
- promptfoo
- Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- prompt-optimizer
- 2d
- promptfoo
- 0d
Open issues (now)
- prompt-optimizer
- 7
- promptfoo
- 481
Stars delta
- prompt-optimizer
- +885 (30d)
- promptfoo
- Unknown
Open issues delta
- prompt-optimizer
- -2 (30d)
- promptfoo
- Unknown
Owner type
- prompt-optimizer
- User
- promptfoo
- Organization
Full report
- prompt-optimizer
- Trust report
- promptfoo
- Trust report
Typed relationship
prompt-optimizer alternative promptfooBoth Prompt Optimizer and promptfoo are tools focused on evaluating and enhancing the effectiveness of prompts used with LLMs, albeit through different methodologies.
Choose prompt-optimizer if…
- License: prompt-optimizer is Other, promptfoo is MIT.
- Pricing: The license information indicates an 'Other' category, suggesting a non-standard licensing model that could be open-source or involve alternative arrangements. Without specific pricing details, the 'P.
- Requirements: Being written in TypeScript requires users to have a compatible environment that can handle this language..
- 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: ai-prompts, llm, prompt-engineering, prompt-optimization.
- Also covers Developer Tools.
- When developing applications that rely heavily on accurate responses from LLMs, using prompt-optimizer can refine your prompts to generate more precise outputs.
When NOT to use prompt-optimizer
- If you work with languages other than TypeScript or require a language-specific optimization not available in prompt-optimizer’s framework.
- In scenarios where the quality of AI responses is satisfactory and no significant improvement through prompt refinement is anticipated, investing time in using this tool may not be beneficial.
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-framework, llm-evaluation, pentesting.
- Also covers LLM Frameworks.
- For comparing performance across GPT, Claude, Gemini, DeepSeek
When NOT to use promptfoo
- If you do not require comparative analysis among multiple LLM models
- If your project does not benefit from the specific red teaming capabilities offered by promptfoo
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (linshenkx/prompt-optimizer) · observed Aug 16, 2026
- GitHub forks (linshenkx/prompt-optimizer) · observed Aug 16, 2026
- Last push (linshenkx/prompt-optimizer) · observed Aug 13, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptfoo/promptfoo) · observed Aug 2, 2026
- GitHub forks (promptfoo/promptfoo) · observed Aug 2, 2026
- Last push (promptfoo/promptfoo) · observed Aug 1, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: prompt-optimizer 33k · promptfoo 24k (synced Aug 16, 2026).
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: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. 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: The license information indicates an 'Other' category, suggesting a non-standard licensing model that could be open-source or involve alternative arrangements. Without specific pricing details, the 'P; Requirements: Being written in TypeScript requires users to have a compatible environment that can handle this language.; 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: ai-prompts, llm, prompt-engineering, prompt-optimization; Also covers Developer Tools; When developing applications that rely heavily on accurate responses from LLMs, using prompt-optimizer can refine your prompts to generate more precise outputs.
- 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-framework, llm-evaluation, pentesting; Also covers LLM Frameworks; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I avoid prompt-optimizer?
- If you work with languages other than TypeScript or require a language-specific optimization not available in prompt-optimizer’s framework. In scenarios where the quality of AI responses is satisfactory and no significant improvement through prompt refinement is anticipated, investing time in using this tool may not be beneficial.
- When should I avoid promptfoo?
- If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo
- Is prompt-optimizer or promptfoo more popular on GitHub?
- prompt-optimizer has more GitHub stars (33,144 vs 23,838). 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 prompt-optimizer alternatives and promptfoo alternatives (prompt-optimizer markdown twin, promptfoo markdown twin), 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 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 trust report; promptfoo trust report.