Compare / Promptfoo vs DeepEval
Promptfoo vs DeepEval
Two evaluation harnesses for software quality gates.
This page compares the structured fields and assessments for two listings.
It does not assign a score. Fields were last checked on each listing’s
verifiedAt date.
| Promptfoo Verified | DeepEval Verified | |
|---|---|---|
| Tagline | Open evaluation and red-team framework for LLM applications. | Pytest-oriented evaluation library for LLM systems. |
| Layers | Verification | Verification |
| Model independence | Multi-model | Multi-model |
| Deployment | Cloud, Self-hosted | Self-hosted |
| Open source | Yes | Yes |
| License | MIT | Apache-2.0 |
| Pricing model | Mixed | Mixed |
Promptfoo
Assessment
Promptfoo fits CI evaluation of prompts, tools, and agents through cases and assertions. Use hold-out cases the agent cannot edit. The MIT runner and optional cloud product are separate surfaces.
DeepEval
Assessment
DeepEval suits teams that prefer pytest-style evaluation cases over YAML. Judge-model metrics need hold-out checks; they are not equivalent to a type checker. Promptfoo is the closest comparison for this workflow.