DSPy
by Stanford NLP · open-source · Last verified 2026-03-17
Framework for programming with foundation models using declarative signatures and automatic prompt optimization. Replaces hand-written prompts with compiled, optimized pipelines backed by teleprompters.
https://dspy-docs.vercel.app ↗B
B—Above Average
Adoption: B+Quality: AFreshness: A+Citations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- prompt-optimization, pipeline-compilation, automatic-tuning, modular-signatures, few-shot-learning
- Integrations
- openai, anthropic, together-ai, chroma, pinecone
- Use Cases
- prompt-engineering, llm-optimization, research, classification, information-extraction
- API Available
- Yes
- SDK Languages
- python
- Deployment
- self-hosted
- Rate Limits
- N/A (open-source)
- Data Privacy
- Self-hosted, user-managed
- Tags
- prompt-optimization, llm-programming, compilers, ml-framework
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
65.9Adoption
72
Quality
88
Freshness
90
Citations
78
Engagement
0