lmms-eval vs promptfoo

Common questions

What is the difference between lmms-eval and promptfoo?

lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. 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 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: agi, audio-evaluation, benchmark, evaluation; You need to evaluate LLaVA series models on different datasets with precise control over reproducibility details like torch/cuda versions.

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-framework, pentesting, red-teaming; Also covers LLM Frameworks; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek.

When should I avoid lmms-eval?

Looking for a tool that supports less than Python 3.12, as uv setup mandates this version. Requiring support beyond text, image, video, and audio modalities which lmms-eval specifically covers. Your project doesn't benefit from extensive results tracking in Google Sheets or relies solely on alternative reproducibility mechanisms without external dependencies.

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 lmms-eval or promptfoo more popular on GitHub?

promptfoo has more GitHub stars (23,838 vs 4,368). 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 lmms-eval alternatives and promptfoo alternatives (lmms-eval 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, lmms-eval or promptfoo?

lmms-eval: 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 trust report; promptfoo trust report.