GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Phoenix is an AI observability and evaluation tool designed for monitoring and evaluating AI models and systems, with a focus on observability and evaluation metrics.
Good fit when
- Use Phoenix when you need comprehensive observability features for your AI models and systems, as it is specifically designed to provide detailed insights into model performance and behavior.
- Consider Phoenix if your project involves a variety of AI components such as agents, datasets, and prompt engineering, as it supports a broad range of AI engineering topics.
Avoid when
- Avoid Phoenix if your project requires a tool that is not covered by the Elastic License 2.0, as Phoenix is licensed under this specific license.
- Do not use Phoenix if your project strictly avoids tools with patent-protected code, as Phoenix includes portions of code that are patent protected.
- Pricing:
- unknown - The pricing model for Phoenix is not specified in the provided repository data.
- Requirements:
- Phoenix is written in Python and requires a Python environment to run.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- 2 low (2 low)
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install phoenixHow it fits your stack(12)
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Evidence and technical details
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Overview
A tool for monitoring and evaluating AI models and systems, focusing on observability and evaluation metrics.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
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README
Copyright, Patent, and License Copyright 2025 Arize AI, Inc. All Rights Reserved. Portions of this code are patent protected by one or more U.S. Patents. See the IP NOTICE. This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.
For agents
This page has a .md twin and JSON over the API.