Skip to main content

Phoenix

AI Observability & Evaluation

View on GitHub Official site
Monitoring Observability Easy setup 10,671 stars

Overview

Description

Make your AI applications reliable and observable. Phoenix is an open-source platform that lets you trace, evaluate, and debug LLM-powered features — from chatbots to agent workflows. The big picture: ship AI with confidence by catching issues before they reach users.

Technical scorecard

License

Not specified

Commercial use

No

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

No

Quantization support

No

Docker available

Yes

GUI / no-code available

Yes

Telemetry

Opt-out

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

The listed license needs review before commercial use.

Telemetry?

Opt-out

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

Deploying Phoenix in production?

Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Phoenix.

Request Privacy and Telemetry Audit

Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/Arize-ai/phoenix

Hardware Requirements

Hardware tagsNot specified
LanguagesPython, TypeScript

Works Well With