DSPy vs Google ADK

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

	DSPy Open-source Python framework for programming, rather than prompting, language models.	Google ADK Open-source, code-first toolkit from Google for building, evaluating, and deploying AI agents.
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	+ Code-first design with explicit control over orchestration and tools + Native multi-agent composition and delegation + Built-in evaluation and local dev CLI (adk run, adk web) + Backed by Google with paths to managed Vertex AI deployment
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	− Newer framework with a smaller community than longer-established options − Strongest ergonomics within the Google/Gemini and Cloud ecosystem
Used in stacks	0	0