Comparison
lmms-eval vs promptfoo
lmms-eval (Unified Evaluation Toolkit for Multimodal Large Language Models) vs promptfoo (CLI and library for evaluating and red-teaming LLM apps) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · lmms-eval alternatives · promptfoo alternatives
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Tagline
- lmms-eval
- Unified Evaluation Toolkit for Multimodal Large Language Models
- promptfoo
- CLI and library for evaluating and red-teaming LLM apps
Stars
- lmms-eval
- 4.3k
- promptfoo
- 23k
Forks
- lmms-eval
- 613
- promptfoo
- 2.1k
Open issues
- lmms-eval
- 43
- promptfoo
- 404
Language
- lmms-eval
- Python
- promptfoo
- TypeScript
Adopt for
- lmms-eval
- lmms-eval is a unified evaluation toolkit designed to assess multimodal large language models across various tasks including text, image, video, and audio with a focus on reproducibility and efficiency.
- promptfoo
- 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
- lmms-eval
- -
- promptfoo
- -
Runtime
- lmms-eval
- -
- promptfoo
- -
License
- lmms-eval
- Other
- promptfoo
- MIT
Last pushed
- lmms-eval
- Jul 7, 2026
- promptfoo
- Jul 8, 2026
Categories
- lmms-eval
- Evaluation & Observability
- promptfoo
- Evaluation & Observability
Trust and health
Days since push
- lmms-eval
- 1d
- promptfoo
- 0d
Open issues (now)
- lmms-eval
- 43
- promptfoo
- 404
Security scan
- lmms-eval
- Not scanned
- promptfoo
- No lockfile
Full report
- lmms-eval
- Trust report
- promptfoo
- Trust report
Typed relationship
lmms-eval alternative promptfooBoth tools are designed to evaluate LLMs by providing ways to test and red-team LLM applications, but they use different methodologies for evaluation.
Choose lmms-eval if…
- lmms-eval is primarily Python; promptfoo is TypeScript.
- License: lmms-eval is Other, promptfoo is MIT.
- Both tools are designed to evaluate LLMs by providing ways to test and red-team LLM applications, but they use different methodologies for evaluation.
- Tags unique to lmms-eval: benchmark, large-language-models, multimodal-evaluation.
- Use lmms-eval when you need a single, comprehensive solution for evaluating the performance of large language models (LLMs) in multiple modalities.
When NOT to use lmms-eval
- Avoid using lmms-eval for single-modality evaluations where a narrower or more specialized toolkit could be more appropriate.
- If reproducibility is not a primary concern in your model development workflow, then lmms-eval’s strict adherence to providing deterministic results through its unified pipeline may offer no clear优势。
- 如果你的评估流程不需要高性能和可信赖的结果，或者你的团队不需要支持多项任务和多个模型的统一工具，则不建议使用lmms-eval。它的高效性和信任度可能是其核心特点，但如果这些对于你的用例不是关键需求，那么它可能并不是最佳选择。
Choose promptfoo if…
- promptfoo is primarily TypeScript; lmms-eval is Python.
- License: promptfoo is MIT, lmms-eval is Other.
- Both tools are designed to evaluate LLMs by providing ways to test and red-team LLM applications, but they use different methodologies for evaluation.
- Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, prompt-engineering.
- promptfoo ships Docker support for self-hosted deployment.
- 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 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.
Explore
lmms-eval trust report →promptfoo trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between lmms-eval and promptfoo?
- lmms-eval: Unified Evaluation Toolkit for Multimodal Large Language Models. 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 lmms-eval over promptfoo?
- Choose lmms-eval over promptfoo when lmms-eval is primarily Python; promptfoo is TypeScript; License: lmms-eval is Other, promptfoo is MIT; Both tools are designed to evaluate LLMs by providing ways to test and red-team LLM applications, but they use different methodologies for evaluation; Tags unique to lmms-eval: benchmark, large-language-models, multimodal-evaluation; Use lmms-eval when you need a single, comprehensive solution for evaluating the performance of large language models (LLMs) in multiple modalities.
- When should I choose promptfoo over lmms-eval?
- Choose promptfoo over lmms-eval when promptfoo is primarily TypeScript; lmms-eval is Python; License: promptfoo is MIT, lmms-eval is Other; Both tools are designed to evaluate LLMs by providing ways to test and red-team LLM applications, but they use different methodologies for evaluation; Tags unique to promptfoo: ci-cd, evaluation, prompt-testing, prompt-engineering; promptfoo ships Docker support for self-hosted deployment; 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 lmms-eval?
- Avoid using lmms-eval for single-modality evaluations where a narrower or more specialized toolkit could be more appropriate. If reproducibility is not a primary concern in your model development workflow, then lmms-eval’s strict adherence to providing deterministic results through its unified pipeline may offer no clear优势。 如果你的评估流程不需要高性能和可信赖的结果，或者你的团队不需要支持多项任务和多个模型的统一工具，则不建议使用lmms-eval。它的高效性和信任度可能是其核心特点，但如果这些对于你的用例不是关键需求，那么它可能并不是最佳选择。
- 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 lmms-eval or promptfoo more popular on GitHub?
- promptfoo has more GitHub stars (23,045 vs 4,292). Stars measure visibility, not whether either tool fits your constraints.
- Are lmms-eval and promptfoo open source?
- Yes - both are open-source projects on GitHub (lmms-eval: Other, promptfoo: MIT).
- Where can I find alternatives to lmms-eval or promptfoo?
- GraphCanon lists graph-backed alternatives at /tools/evolvinglmms-lab-lmms-eval/alternatives and /tools/promptfoo-promptfoo/alternatives (/tools/evolvinglmms-lab-lmms-eval/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/evolvinglmms-lab-lmms-eval-vs-promptfoo-promptfoo.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, lmms-eval or promptfoo?
- lmms-eval: 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 lmms-eval and promptfoo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmms-eval: /tools/evolvinglmms-lab-lmms-eval/trust; promptfoo: /tools/promptfoo-promptfoo/trust.