DSPy vs 
Ragas
DSPy vs Ragas compared for 2026 — features, license, ease of use, performance and which one to choose. Program — not prompt — language models vs Measure whether your RAG is any good.
Updated regularly · curated by OpenSourceAI.tech
DSPy vs Ragas at a glance
| Spec | DSPy | Ragas |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | LLM programming framework | RAG evaluation |
| License | MIT | Apache-2.0 |
| Runs locally | Cloud-optional | Yes |
| Primary language | Python | Python |
| Ease of use | Advanced | Intermediate |
| Best for | optimizing LLM pipelines systematically | anyone tuning a RAG pipeline blind |
| GitHub stars | 36.2k | — |
How DSPy and Ragas score
| Criterion | DSPy | Ragas |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 2.5 | 3.5 |
| Privacy | 3.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
DSPy
DSPy from Stanford is a framework for programming LLMs with composable modules and optimizers that automatically tune prompts instead of hand-crafting them.
- Replaces prompt-hacking with optimization
- Composable, reusable modules
- Strong research backing
Ragas
Ragas scores RAG pipelines on faithfulness, answer relevance and context precision, turning "it feels better" into numbers.
- Objective RAG quality metrics
- Catches hallucinations quantitatively
- Integrates with LangChain and LlamaIndex
Key differences
DSPy is lLM programming framework, while Ragas is rAG evaluation. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. DSPy leans more advanced-friendly, whereas Ragas is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Yes). In short, DSPy fits optimizing LLM pipelines systematically, and Ragas fits anyone tuning a RAG pipeline blind.
Which should you choose?
Choose DSPy for optimizing LLM pipelines systematically. Choose Ragas for anyone tuning a RAG pipeline blind.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is DSPy or Ragas easier to use?
Ragas is generally the easier of the two to get started with, while DSPy rewards more setup with more control.
Are DSPy and Ragas free?
DSPy is free and open source (MIT), and Ragas is free and open source (Apache-2.0). Neither charges for the core software.
Can I run DSPy and Ragas locally?
DSPy: cloud-optional · Ragas: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
DSPy vs Ragas — which should I pick in 2026?
Choose DSPy for optimizing LLM pipelines systematically. Choose Ragas for anyone tuning a RAG pipeline blind.
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