DSPy vs Haystack

Pick two tools from the same category to compare side-by-side.

	DSPy Open-source Python framework for programming, rather than prompting, language models.	Haystack Open-source Python orchestration framework from deepset for production LLM and RAG applications.
Category	framework	framework
Vendor type	open source	hybrid
Pricing	free	freemium
Strengths	+ Declarative, modular programs replace brittle prompt strings + Automatic prompt optimization against a defined metric + Portable across models and providers (uses LiteLLM under the hood) + Research-backed, with an active academic and OSS community	+ Transparent, modular pipeline architecture + Strong, mature support for RAG and retrieval workflows + Broad ecosystem of model and document-store integrations + Production focus with a commercial platform option from deepset
Tradeoffs	− Optimizer-driven workflow has a distinct learning curve − Compilation and optimization can add cost and iteration time − Less of a turnkey agent runtime than orchestration-focused frameworks	− Pipeline/component model adds boilerplate for simple tasks − Historically RAG-centric, with agents added more recently
Used in stacks	0	0