DSPy
Stanford framework for programming LLMs declaratively with signatures, modules, and prompt optimizers.
agent-frameworksRecently released
61
Hero Score
Popularity
64
Performance
70
Ecosystem
50
Maturity
69
Dev Experience
50
⭐ 38,599 stars⬇ 101.3K downloads/wkFirst release: Aug 2023Last release: Sep 2026
Async Support: YesPlugin Extensions: MediumSpeed: MediumDoc Quality: HighLearning Curve: Hard
Pros
- • Declarative, composable signatures and modules
- • Automatic prompt and weight optimization
- • Research-grade with strong academic backing
Cons
- • Different paradigm than typical prompt engineering
- • Smaller community than mainstream agent frameworks
- • Debugging optimizers can be opaque