A side-by-side of two evals & testing for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: promptfoo leads DeepEval vs promptfoo by community traction (★ 24k vs ★ 18k). Pick DeepEval for LLM unit tests; pick promptfoo for prompt evals.
✓ Live data verified
| DeepEval | promptfoo | |
|---|---|---|
| GitHub stars | ★ 18k | ★ 24k |
| Language | Python | TypeScript |
| Category | Evals & testing | Evals & testing |
| Best for | LLM unit tests | prompt evals |
| Repository | confident-ai/deepeval | promptfoo/promptfoo |
DeepEval and promptfoo are both credible choices. By community traction, promptfoo leads (★ 24k). Pick DeepEval for LLM unit tests; pick promptfoo for prompt evals.
Both are credible evals & testing. By community traction promptfoo leads (★ 24k). Pick DeepEval for LLM unit tests; pick promptfoo for prompt evals.
DeepEval is Pytest-like framework for unit-testing LLM outputs with metrics for hallucination, relevancy, and bias.. promptfoo is Test-driven prompt and agent development — evals, red-teaming, and side-by-side model comparison from the CLI..
promptfoo has more — ★ 24k vs ★ 18k (live counts).
Often yes — many teams combine evals & testing. Check each tool's docs for interop; they solve overlapping but not identical problems.
DeepEval is primarily Python; promptfoo is primarily TypeScript.
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