DeepEval vs Promptfoo
Detailed side-by-side comparison to help you choose the right tool
DeepEval
🔴DeveloperTesting & Quality
Open-source LLM evaluation framework for testing AI agents with 14+ metrics including hallucination detection, tool use correctness, and conversational quality.
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FreePromptfoo
🔴DeveloperTesting & Quality
Open-source LLM testing and evaluation framework for systematically testing prompts, models, and AI agent behaviors with automated red-teaming.
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FreeFeature Comparison
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DeepEval - Pros & Cons
Pros
- ✓Most comprehensive LLM evaluation metric suite available
- ✓Pytest integration feels natural for Python developers
- ✓Tool correctness metric specifically designed for agent testing
- ✓Active development with frequent new metrics and features
- ✓Both open-source and managed cloud options
Cons
- ✗Metrics require LLM API calls adding cost
- ✗Some metrics can be slow for large evaluation datasets
- ✗Confident AI cloud required for team features
- ✗Documentation could be more comprehensive for advanced use cases
Promptfoo - Pros & Cons
Pros
- ✓Most comprehensive open-source LLM testing tool
- ✓Automated red-teaming finds agent vulnerabilities
- ✓Easy CI/CD integration for continuous testing
- ✓Supports all major LLM providers
- ✓Active community with frequent releases
Cons
- ✗Learning curve for complex evaluation setups
- ✗Red-teaming features require LLM API calls (cost)
- ✗Team features require paid plan
- ✗Configuration can be verbose for large test suites
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