
Promptfoo
7.8#2 in llm evaluation toolsFree planFree planWebAPILinuxmacOS
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| Fact | Promptfoo | TruLens |
|---|---|---|
| Evaluation | It tests prompts across multiple providers, grades outputs with assertions, and calculates accuracy, safety, and performance metrics. | It supports agent, RAG, MCP app, and summarization evaluations with metrics including tool selection, groundedness, context relevance, and correctness. |
| Installation | Installation is available through npm, npx, Homebrew, and a project dependency; npm and npx require Node.js 22.22.0 or newer. | The documented installation uses Conda with Python 3, followed by pip install trulens; source development uses the GitHub repository and editable installation. |
| 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 and providers for LangChain, LangGraph, LlamaIndex, MCP, OpenAI, Anthropic, Amazon Bedrock, HuggingFace, LiteLLM, Google, and Snowflake Cortex. |
| Release activity | January 2026 release notes list adaptive rate limiting, Transformers.js local inference, telecom red-team plugins, video-generation providers, and a VS Code extension. | The GitHub releases page shows TruLens 2.13.1 released on August 20 and documents fixes for dill compatibility and lazy Hugging Face imports. |
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.
TruLens suits teams building AI agents, RAG systems, MCP apps, or summarizers who need trace inspection and evaluation. It is aimed at Python-based workflows and can instrument custom apps and listed frameworks.