evidently vs promptfoo
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| evidently | promptfoo | |
|---|---|---|
| Tagline | Evidently is an open-source ML and LLM observability framework. | Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. |
| Stars | 7.7k | 23k |
| Forks | 874 | 2.1k |
| Open issues | 285 | 402 |
| Language | Jupyter Notebook | TypeScript |
| License | Apache-2.0 | MIT |
| Last pushed | May 2, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability | Evaluation & Observability, Developer Tools |
evidently
Evidently is a Python library for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) systems from experiments to production. It supports a wide range of evaluation metrics and can be used both offline and in live environments.
Jupyter Notebook
promptfoo
A CLI and library to evaluate and red-team LLM applications with simple declarative configurations, supporting GPT, Claude, Gemini, etc., with CI/CD integration. Used by OpenAI and Anthropic.
TypeScript