DSPy vs Flowise
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | DSPy | Flowise |
|---|---|---|
| GitHub Stars | 34.5K | 52.8K |
| Contributors | 393 | 318 |
| Last Commit | May 15, 2026 | May 14, 2026 |
| Open Issues | 474 | 859 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
ragopen-source
Only in DSPy
prompt-optimizationprogrammingresearchstanfordpython
Only in Flowise
visual-builderlow-codelangchainllamaindex
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 Flowise
Flowise is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop UI lets you connect LLMs, memory, tools, and data sources visually. Supports LangChain and LlamaIndex under the hood, with 100+ integrations. Deploy as API endpoints with one click.
View full listing