confident-ai/deepeval vs promptfoo/promptfoo
promptfoo/promptfoo scores higher overall: 83/100 (A-tier) against 80/100 (A-tier). confident-ai/deepeval leads on no dimension; promptfoo/promptfoo leads on reliability, skill leverage, documentation. Scored 2026-07-07, methodology v1.0.
Dimension by dimension
| Dimension | deepeval | promptfoo |
|---|---|---|
| Reliability | 76 | 78 |
| Skill Leverage | 80 | 82 |
| Documentation | 82 | 84 |
| Maintenance | 90 | 92 |
| Safety / Governance | 66 | 76 |
| Evaluation Readiness | 92 | 92 |
| Composability | 80 | 82 |
| Adoption (capped) | 82 | 84 |
| Overall | 80 · A | 83 · A |
The entries
A pytest-style LLM evaluation framework: metric classes for correctness, hallucination, RAG quality, and agent task completion, written as…
Test harness for prompts, agents, and RAG pipelines: declarative test cases, assertions, matrix comparisons, and red-team scanning, runnable…
Frequently asked questions
confident-ai/deepeval or promptfoo/promptfoo?
promptfoo/promptfoo scores higher overall (83 vs 80, methodology v1.0). But they are the same category, so the dimension table below is the real answer.
How is this comparison generated?
Both scorecards come from the same public rubric with evidence notes, scored by the same editorial process. This page presents them side by side; it adds no new judgments beyond the scores themselves.