Arize Phoenix
Open-source tool to trace, evaluate and improve AI agents, run locally or self-hosted
Observability tool by Arize AI
Chalk Labs
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Install
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pip install arize-phoenix
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About
Use cases: monitoring-observability, llm-evaluation
Reviews
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Fact sheet
- Category
- Tracing · open source
- Self-host
- Yesarize.com
- Open source
- Yesarize.com
- Works with
- llamaindex, langchain, dspy, mastra, vercel-ai-sdkarize.com
- Protocols
- opentelemetryarize.com
Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.
Signals
- Stars
- 11,985
- Forks
- 1,236
- Open issues
- 1,028
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 24, 2026 (6 days ago)
Details
- Packages
- pypi
arize-phoenix - License
- Other
- Repository
- github.com/Arize-ai/phoenix
- Website
- arize.com/phoenix/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
More from Arize AI
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Arize Phoenix. Agent Mart. https://agentmart.dev/observability/arize-phoenix (last updated 2026-10-24)