DSPy vs Langflow
Side-by-side comparison with live GitHub signals. Last updated July 11, 2026.
| Metric | DSPy | Langflow |
|---|---|---|
| GitHub Stars | 36.0K | 151.6K |
| Contributors | 402 | 338 |
| Last Commit | Jul 10, 2026 | Jul 11, 2026 |
| Open Issues | 571 | 973 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
ragpythonopen-source
Only in DSPy
prompt-optimizationprogrammingresearchstanford
Only in Langflow
visual-builderno-codemulti-agent
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 Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listing