confident-ai/deepeval vs promptfoo/promptfoo
Compare confident-ai/deepeval and promptfoo/promptfoo using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
confident-ai/deepeval
DeepEval is an open-source evaluation framework that applies a Pytest-like workflow to unit testing and regression testing of LLM applications. It provides ready-to-use metrics for measuring output quality and detecting prompt drift, requiring an LLM such as OpenAI or a custom model to serve as the judge for evaluations.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A
- Updated
- 2026-07-17T13:51:15Z
promptfoo/promptfoo
promptfoo is a developer-first library and CLI for declarative testing, automated evaluation, and vulnerability scanning of LLM prompts, agents, and retrieval pipelines. It supports local orchestration and integrates with multiple LLM providers, including remote APIs and local runtimes.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Developers, AI engineers, and operations teams who need to evaluate prompts, test models, and automate security checks via a CLI or library.
- Updated
- 2026-07-16T18:26:38Z
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