evidently vs promptfoo

Common questions

What is the difference between evidently and promptfoo?

evidently: An open-source ML and LLM observability framework for evaluating, testing, and monitoring AI systems and data pipelines.. promptfoo: Test prompts, agents, and RAGs. Compare performance of various LLMs.. See the comparison table for live GitHub stats and shared categories.

When should I choose evidently over promptfoo?

Choose evidently over promptfoo when evidently is primarily Jupyter Notebook; promptfoo is TypeScript; License: evidently is Apache-2.0, promptfoo is MIT; Pricing: Evidently is free and open-source, but users may incur costs related to hosting and infrastructure when deploying it.; Requirements: Min 2 GB RAM; Evidently can be installed via pip or conda, making it accessible to users with different package management preferences.; Evidently and Promptfoo both aim at observability for LLMs but differ in their methodologies, approach to evaluation, and the specific tools provided; Tags unique to evidently: data-drift, data-quality, data-science, data-validation; Use Evidently when you need to evaluate and monitor generative AI systems, as it supports a wide range of metrics specifically tailored for these applications.

When should I choose promptfoo over evidently?

Choose promptfoo over evidently when promptfoo is primarily TypeScript; evidently is Jupyter Notebook; License: promptfoo is MIT, evidently is Apache-2.0; Requirements: Requires Node.js >=22.22.0, with Node.js 24 LTS recommended.; API keys for most LLM providers are required and should be set as environment variables.; Evidently and Promptfoo both aim at observability for LLMs but differ in their methodologies, approach to evaluation, and the specific tools provided; Tags unique to promptfoo: ci, ci-cd, cicd, evaluation; promptfoo ships Docker support for self-hosted deployment; When you need to compare the performance of various LLMs such as GPT, Claude, Gemini, DeepSeek, and more.

When should I avoid evidently?

Avoid Evidently if your project requires real-time monitoring, as it is primarily designed for batch processing and post-deployment evaluation. Do not use Evidently if your team is not familiar with Jupyter Notebooks, as this is the primary interface for using the framework.

When should I avoid promptfoo?

If you are working with languages other than TypeScript, as Promptfoo is specifically designed for TypeScript environments. When you do not need to compare multiple LLMs and only require a simple prompt testing tool without advanced features like red teaming.

Is evidently or promptfoo more popular on GitHub?

promptfoo has more GitHub stars (25,251 vs 7,924). Stars measure visibility, not whether either tool fits your constraints.

Are evidently and promptfoo open source?

Yes - both are open-source projects on GitHub (evidently: Apache-2.0, promptfoo: MIT).

Where can I find alternatives to evidently or promptfoo?

GraphCanon lists graph-backed alternatives at evidently alternatives and promptfoo alternatives (evidently markdown twin, promptfoo markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, evidently or promptfoo?

evidently: Very active. promptfoo: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for evidently and promptfoo?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; promptfoo trust report.