DSPy vs smolagents

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

	DSPy Open-source Python framework for programming, rather than prompting, language models.	smolagents Hugging Face's minimalist agent library where agents act by writing and running code.
Category	framework	framework
Vendor type	open source	open source
Pricing	free	free
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	+ Minimal, readable codebase with few abstractions + Code-agent approach can reduce steps and LLM calls + Model-agnostic via LiteLLM and the Hub + Sandboxed execution options (E2B, Modal, Docker)
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	− Minimalism means fewer built-in features for complex orchestration − Executing model-written code requires careful sandboxing − Younger, smaller ecosystem than larger frameworks
Used in stacks	0	0