Promptfoo vs DeepEval
Compare Promptfoo and DeepEval on deployment, pricing, model support, and more.
Promptfoo
- Tagline
- Open-source LLM testing and red-teaming — test prompts, evaluate outputs, catch regressions
- Description
- Promptfoo is an open-source CLI and library for testing, evaluating, and red-teaming LLM applications. Write test cases in YAML or JavaScript, run them against multiple models (GPT-4, Claude, Llama) simultaneously, and compare results in a local web UI. Supports automated red-teaming to find jailbreaks, prompt injections, and safety failures. 4,000+ GitHub stars.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 25,016 GitHub stars (source)
- Link
- Visit
DeepEval
- Tagline
- Open-source LLM evaluation framework — 14+ metrics for RAG, agents, and chatbots
- Description
- DeepEval is an open-source Python framework for evaluating LLM outputs with production-grade metrics. It provides 14+ built-in metrics (faithfulness, answer relevancy, hallucination, bias, toxicity) plus LLM-as-judge scoring — all integrated with pytest for CI/CD. Used by engineering teams to catch LLM quality regressions before deployment.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 18,218 GitHub stars (source)
- Link
- Visit
| Attribute | Promptfoo | DeepEval |
|---|---|---|
| Tagline | Open-source LLM testing and red-teaming — test prompts, evaluate outputs, catch regressions | Open-source LLM evaluation framework — 14+ metrics for RAG, agents, and chatbots |
| Category | LLM Frameworks | LLM Frameworks |
| Pricing | Free | Free |
| Description | Promptfoo is an open-source CLI and library for testing, evaluating, and red-teaming LLM applications. Write test cases in YAML or JavaScript, run them against multiple models (GPT-4, Claude, Llama) simultaneously, and compare results in a local web UI. Supports automated red-teaming to find jailbreaks, prompt injections, and safety failures. 4,000+ GitHub stars. | DeepEval is an open-source Python framework for evaluating LLM outputs with production-grade metrics. It provides 14+ built-in metrics (faithfulness, answer relevancy, hallucination, bias, toxicity) plus LLM-as-judge scoring — all integrated with pytest for CI/CD. Used by engineering teams to catch LLM quality regressions before deployment. |
| Metric | 25,016 GitHub stars (source) | 18,218 GitHub stars (source) |
| Link | Visit | Visit |