DSPy vs Langflow
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
DSPy suits teams needing open-source access, prompt optimization focus, and 37,489 GitHub stars in current listing data. Langflow suits teams needing open-source access, visual builder focus, and 153,543 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | DSPy | Langflow |
|---|---|---|
| GitHub Stars | 37.5K | 153.5K |
| Contributors | 406 | 351 |
| Last Commit | Aug 21, 2026 | Aug 22, 2026 |
| Open Issues | 643 | 968 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose DSPy if you need
- • DSPy is the stronger pick when Prompt Optimization matters because that capability is listed only on its profile.
- • DSPy has a larger visible contributor base (406 vs 351).
- • DSPy is the cleaner fit if you specifically need Prompt Optimization workflows from the catalog tags.
Choose Langflow if you need
- • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 37,489 for DSPy.
- • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: DSPy shows 37,489 stars versus 153,543 for Langflow.
- • Contributor count: DSPy lists 406 contributors and Langflow lists 351.
Shared capabilities
- • Rag
- • Python
- • Open Source
Shared Tags
Only in DSPy
Only in Langflow
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
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