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claude-skill

Phoenix: AI Insights

Get AI observability and evaluation with Phoenix, a tool for startup founders. 10k+ GitHub stars.

10,506 stars977 forksPythonQuality 8/10Updated 7/11/2026100% free · open source

What it does

Phoenix provides AI observability and evaluation to help startup founders monitor and improve the performance of their machine learning models

Install / run

pip install phoenix-ai

When to use it

•When you need to troubleshoot issues with your ML model's performance
•When you want to compare the performance of different ML models
•When you need to audit your ML model's data and performance metrics

Quick start

1Clone the Phoenix repository using `git clone https://github.com/Arize-ai/phoenix.git`
2Navigate to the Phoenix directory using `cd phoenix`
3Run `phoenix --help` to view available commands and options
4Create a new configuration file using `phoenix init` and customize it to your needs
5Start the Phoenix server using `phoenix start` to begin collecting metrics and logs

Ready-to-paste prompt

phoenix run --model my_model --data my_data.csv --metrics accuracy,f1_score

Heads up: Make sure you have the necessary dependencies installed, including `pytorch` and `tensorflow`, and that you have a valid API key for Arize AI if you plan to use the tool's cloud features

Saves to your device

Topics

agents

ai-monitoring

ai-observability

aiengineering

anthropic

datasets

evals

langchain

llamaindex

llm-eval

llm-evaluation

llmops

llms

openai

prompt-engineering

smolagents

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

41

top-level files

25

folders

483.4M

repo size

Other

license

Key files

.editorconfig

.pre-commit-config.yaml

AGENTS.md

README.md

release-please-config.json

skills-lock.json

File tree

.agents/

.claude/

.codex/

.cursor/

.github/

.tours/

.vscode/

api_reference/

app/

docs/

evals/

examples/

helm/

internal_docs/

js/

kustomize/

packages/

prompts/

requirements/

schemas/

scripts/

src/

styles/

tests/

Quick Actions

Details

Creator

Arize-ai

Language

Python

Category

claude-skill

Published

11/9/2022

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