DSPy
Programming (not prompting) LLMs
⭐ 18,000 stars● Health 95/100 — Active· commit recency (40 pts) · star momentum (30 pts) · issue ratio (20 pts) · forks (10 pts)App Infrastructure
About
Stanford's framework for algorithmically optimizing LLM pipelines. Replaces hand-crafted prompts with declarative modules and automatic optimization.
Choose DSPy when…
- •You want to optimize LLM pipelines programmatically
- •You're running experiments and tuning prompts at scale
- •Academic or research-oriented LLM workflows fit you
Builder Slot
How do your AI calls chain together?Optional for most stacks
The pipeline layer that connects LLM calls, retrieval, and data processing into a workflow
Dev Tools
Not applicable
App Infra
Optional
Hybrid
Optional
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pip packages
dspy-aidspyIntegrates with (1)
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Pricing
✦ Free tier available
Recent Activity
Pricing updated
3 weeks ago
Health ↑ 80 → 95
4 weeks ago
Pricing updated
5 weeks ago
Health ↑ 70 → 80
5 weeks ago
Health ↓ 80 → 70
5 weeks ago
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