Stay free if you only need 50+ evaluation metrics and pytest integration. Upgrade if you need cloud evaluation dashboard and team collaboration and sharing. Most solo builders can start free.
Why it matters: Requires Python and pytest knowledge, not suitable for non-technical users
Available from: Confident AI Platform
Why it matters: LLM-as-judge metrics consume additional API credits and compute resources
Available from: Confident AI Platform
Why it matters: Learning curve to understand appropriate metric selection for different use cases
Available from: Confident AI Platform
Why it matters: Cloud collaboration features require separate Confident AI platform subscription
Available from: Confident AI Platform
Why it matters: Performance can be slow for large-scale evaluations due to LLM evaluation overhead
Available from: Confident AI Platform
Why it matters: Limited GUI compared to no-code evaluation platforms like LangSmith's interface
Available from: Confident AI Platform
Yes, DeepEval is completely free and open-source under Apache 2.0 license. All evaluation metrics, pytest integration, tracing, and core features are included at no cost with no usage restrictions. Confident AI offers an optional cloud platform for team collaboration and advanced analytics.
DeepEval offers the most comprehensive metric library (50+) compared to competitors, with unique pytest integration familiar to developers. Unlike LangSmith's subscription model, DeepEval is completely free. It provides both end-to-end and component-level evaluation, while maintaining open-source transparency and avoiding vendor lock-in.
DeepEval requires Python programming knowledge and familiarity with pytest testing framework. It's designed for developers and technical teams who want to integrate LLM evaluation into their development workflow, not for non-technical users seeking no-code solutions.
Yes, DeepEval supports comprehensive evaluation of RAG systems, chatbots, AI agents, multi-turn conversations, multimodal applications, and virtually any LLM-powered application. It provides specialized metrics for each use case and supports both end-to-end and component-level evaluation.
DeepEval integrates with all major LLM providers (OpenAI, Anthropic, Google, Azure, Ollama) and frameworks (LangChain, LangGraph, CrewAI, Pydantic AI, LlamaIndex). You can use different models for evaluation than those being tested, and it supports custom LLM implementations.
Start with the free plan — upgrade when you need more.
Get Started Free →Still not sure? Read our full verdict →
Last verified March 2026