
Promptfoo
7.8#2 in llm evaluation toolsFree planFree planWebAPILinuxmacOS
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| Fact | Promptfoo | Ragas |
|---|---|---|
| Installation | Installation is available through npm, npx, Homebrew, and a project dependency; npm and npx require Node.js 22.22.0 or newer. | Ragas can be installed with pip or from its GitHub main branch. |
| Integrations | Documented integrations include LangChain, LangGraph, CrewAI, MCP, Splunk, Burp Suite, GitHub Actions, GitLab, Jenkins, CircleCI, Azure Pipelines, and Bitbucket Pipelines. | The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks. |
| Model providers | Provider documentation covers OpenAI, Anthropic, Google, Vertex, HTTP, JavaScript, Python, Ruby, shell, OpenAI Agents, and other services. | The quick start documents use with OpenAI, Anthropic, Google Gemini, Ollama, and OpenAI-compatible providers. |
| Product | Promptfoo helps developers and enterprises build secure, reliable AI applications. | Ragas is a library for systematically evaluating large language model applications. |
| Security | The site displays SOC 2 and ISO 27001 certification badges. | The opened product and documentation pages did not state security certifications or compliance details. |
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Promptfoo suits developers and enterprise teams evaluating prompts, model outputs, and AI application risks. Its local and self-hosted options may appeal to teams that want to run the Community plan on their own infrastructure.
Ragas suits developers and teams evaluating AI applications, especially RAG, agents, SQL, and similar workflows. It fits users comfortable installing and running a self-hosted Python package.