DSPy
Overview
DSPy is a Python framework for composing and optimizing model programs using signatures, modules and developer-supplied evaluation criteria.
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DSPy is a Python framework for composing and optimizing model programs using signatures, modules and developer-supplied evaluation criteria.
DSPy can optimize a configured model program against supplied examples and a scoring function and execute developer-defined modules or tools. Developers design the program, evaluation and permissions and inspect results. Optimization is bounded by that setup; it does not independently invent business goals or guarantee human-level performance.
Open-source access avoids a framework subscription, while optimization calls and inference remain paid resources.
Product overview
Capabilities, pricing and fit
DSPy is a Python framework for composing and optimizing model programs using signatures, modules and developer-supplied evaluation criteria.
Information as of July 30, 2026
What it can do
- Product role
DSPy is a Python framework for composing and optimizing model programs using signatures, modules and developer-supplied evaluation criteria.[1]
Where it fits best
- Building and evaluating structured model programs[1]
Sources (1)
- dspy.ai — product detailsOfficial site · checked 2026-10-15
Autonomy level
62/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of DSPy:
- Building and evaluating structured model programs
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Code access:
Popularity level: 70%
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