lmms-eval vs dify
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| lmms-eval | dify | |
|---|---|---|
| Tagline | One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks | Production-ready platform for agentic workflow development |
| Stars | 4.3k | 148k |
| Forks | 613 | 23k |
| Open issues | 43 | 851 |
| Language | Python | TypeScript |
| License | Other | Other |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability | AI Agents |
lmms-eval
A unified evaluation toolkit for large multimodal models focusing on reproducibility, efficiency, and trustworthiness.
Python
dify
Dify is a production-ready platform designed to facilitate the creation and management of agentic workflows. It supports TypeScript, Python, and leverages frameworks like Next.js.
TypeScript