DeepEval
8.3#1 in llm evaluation toolsFrom $200 a monthFree planWebAPILinuxmacOS
VisitDeepEval vs Ragas
What both publish
| Fact | DeepEval | Ragas |
|---|---|---|
| Customization | Metrics, prompts, judge models and evaluation templates can be customized. | Ragas documents options to customize metrics, test set generation, prompts, and model configuration. |
| Framework integrations | Official integrations include LangChain, LlamaIndex, CrewAI, OpenAI Agents, LangGraph, PydanticAI, Google ADK, AgentCore, Strands and OpenTelemetry. | Documented framework integrations include LangChain, LlamaIndex, Haystack, Griptape, and others. |
| Integrations | Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI. | The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks. |
| Metrics | The project advertises more than 50 metrics spanning quality, agents, RAG, conversations, safety, voice and multimodal use cases. | Users can use available evaluation metrics or create custom metrics. |
| Model providers | Evaluation model integrations include OpenAI, Azure OpenAI, Ollama, OpenRouter, Anthropic, Amazon Bedrock, Gemini, DeepSeek, Vertex AI, Grok, Moonshot, Portkey, vLLM, LM Studio, and LiteLLM. | The quick start documents use with OpenAI, Anthropic, Google Gemini, Ollama, and OpenAI-compatible providers. |
| Purpose | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. | Ragas is a library for systematically evaluating AI and large language model applications. |
DeepEval plans
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Ragas plans
No prices published.
Pick DeepEval if…
DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.
Pick Ragas if…
Ragas suits developers and teams evaluating AI applications, especially RAG, agents, SQL, and similar workflows. It fits users comfortable installing and running a self-hosted Python package.