DSPy
Framework for programming, not prompting, LLMs.
Verified live · 7/11/2026
Disclosure: some links below are affiliate links. If you sign up through them we may earn a commission — at no extra cost to you. It never affects our rankings.
What is DSPy?
An open-source framework from Stanford NLP for programming LLM pipelines with modules and optimizers instead of manual prompts. Automatically compiles and tunes prompts for tasks.
Pros
- Automatic prompt optimization
- Declarative modules
- Research-backed
Cons
- Different mental model
- Steeper onboarding
Pricing
From Free · Open source
Top DSPy alternatives
- Agno — Fast, lightweight framework for multimodal agents.
- CrewAI — Framework for orchestrating role-playing agent crews.
- Griptape — Python framework for agents, pipelines, and workflows.
- Haystack — Open-source framework for LLM search and agents.
- LangChain — Popular framework for building LLM apps and agents.
- LangGraph — Graph-based library for stateful, multi-actor agents.