AI Infrastructure & MLOps Free

DSPy

Program and optimize modular language-model systems in Python

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PricingFree
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentLocal
Last verifiedAugust 3, 2026
Overview

Tool overview

DSPy is listed under AI Infrastructure & MLOps AI tools.

Summary

What is DSPy?

DSPy is an open-source Python framework for expressing language-model applications as modular programs and optimizing prompts or weights against measurable objectives. It supports retrieval, agents, evaluation, adapters, and many model providers.

Best fit

Best for

Python teams building measurable and optimizable language-model programs

Audience

Who is it for?

ML engineersAI researchersRAG developersAgent developers
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Typed signatures and reusable modules

Prompt and weight optimizers

Evaluation, metrics, and tracing hooks

Model-provider and retrieval integrations

Workflows

Use cases

Optimize RAG pipelines

Build modular agents

Tune classification and extraction programs

Evaluate LM system changes

Strengths

Pros

  • Free and MIT licensed
  • Model-provider independent
  • Separates program structure from prompt tuning
Considerations

Cons

  • Users still pay their model providers
  • Optimization needs representative data
  • Production deployment is the user’s responsibility
Considerations

Limitations

DSPy does not host models or include their usage costs.

Optimization quality depends on metrics, examples, and evaluation design.

Cost

Pricing details

Pricing modelFree
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source softwareBring your own model provider
Pricing context

Pricing note

DSPy is free and open source under the MIT license. Users pay separately for the models and infrastructure they connect.

Compatibility

Supported languages

  • English
Connectivity

Integrations

OpenAI

Anthropic

Google Gemini

Databricks

Ollama

LiteLLM

Retrieval systems

Specs

Technical details

PlatformsWeb
Multilingual supportYes
Login requiredNo
Open sourceYes
LicenseMIT
DeploymentLocal
CompanyStanford NLP
Current version3.1.1
Models / versionsDSPy modules Optimizers Adapters Evaluators
Editions / plansDSPy Python package
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

DSPy is an open-source Python framework for expressing language-model applications as modular programs and optimizing prompts or weights against measurable objectives. It supports retrieval, agents, evaluation, adapters, and many model providers.
Python teams building measurable and optimizable language-model programs
The listed pricing model for DSPy is free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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