DSPy vs MetaGPT
Side-by-side comparison with live GitHub signals. Last updated July 5, 2026.
| Metric | DSPy | MetaGPT |
|---|---|---|
| GitHub Stars | 35.8K | 69.2K |
| Contributors | 401 | 116 |
| Last Commit | Jul 5, 2026 | Jan 21, 2026 |
| Open Issues | 561 | 134 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
pythonopen-source
Only in DSPy
prompt-optimizationprogrammingresearchragstanford
Only in MetaGPT
multi-agentsoftware-engineeringcollaborationroles
About DSPy
DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.
View full listingAbout MetaGPT
MetaGPT assigns different roles to agents (product manager, architect, engineer, QA) to form a collaborative software team. Given a one-line requirement, it outputs user stories, competitive analysis, requirements, data structures, APIs, and complete code. Pioneered the multi-agent collaboration pattern for software development.
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