DSPy vs Semantic Kernel

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

	DSPy Open-source Python framework for programming, rather than prompting, language models.	Semantic Kernel Microsoft's open-source SDK for embedding LLM agents and plugins into .NET, Python, and Java apps.
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	+ Strong enterprise and multi-language support (.NET, Python, Java) + Plugin/connector model and Azure ecosystem integration + Backed by Microsoft with extensive documentation + Established memory and planner/agent primitives
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	− Most new investment has shifted to Microsoft Agent Framework − API churn and migration overhead for long-lived projects − Heavier, enterprise-oriented abstractions
Used in stacks	0	0