View arize-phoenix on Snyk Open Source Advisor

Package Health Score

87 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Active

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Popularity

Popular

GitHub Stars: 4.33K
Forks: 319
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package arize-phoenix, we found that it has been starred 4,327 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 18, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
H
0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Elastic-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 205
Open PR: 16
Last Release: 2 days ago
Last Commit: 2 days ago

Further analysis of the maintenance status of arize-phoenix based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that arize-phoenix demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 70
Funding: No

With more than 10 contributors for the arize-phoenix repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: <3.14,>=3.9

Age: 2 years
Latest Release: 2 days ago
Dependencies: 21 Direct
Versions: 330
Maintainers: 1
Wheels: OS Independent

Readme

Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:

Tracing - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
Evaluation - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
Datasets - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
Experiments - Track and evaluate changes to prompts, LLMs, and retrieval.

Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (🦙LlamaIndex, 🦜⛓LangChain, Haystack, 🧩DSPy) and LLM providers (OpenAI, Bedrock, MistralAI, VertexAI, LiteLLM, and more). For details on auto-instrumentation, check out the OpenInference project.

Phoenix runs practically anywhere, including your Jupyter notebook, local machine, containerized deployment, or in the cloud.

Installation

Install Phoenix via pip or conda

pip install arize-phoenix

Phoenix container images are available via Docker Hub and can be deployed using Docker or Kubernetes.

Features

Key Features	Availability
Tracing	✅
Evaluation	✅
Retrieval (RAG) Analysis	✅
Datasets	✅
Fine-Tuning Export	✅
Annotations	✅
Human Feedback	✅
Experiments	✅
Embeddings Analysis	✅
Data Export	✅
REST API	✅
GraphQL API	✅
Data Retention	Customizable
Authentication	✅
Social Login	✅
RBAC	✅
Projects	✅
Self-Hosting	✅
Jupyter Notebooks	✅
Prompt Playground	✅
Sessions	✅
Prompt Management	Coming soon ⏱️

Tracing Integrations

Phoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic.

Python

Integration	Package	Version Badge
OpenAI	`openinference-instrumentation-openai`
LlamaIndex	`openinference-instrumentation-llama-index`
DSPy	`openinference-instrumentation-dspy`
AWS Bedrock	`openinference-instrumentation-bedrock`
LangChain	`openinference-instrumentation-langchain`
MistralAI	`openinference-instrumentation-mistralai`
Guardrails	`openinference-instrumentation-guardrails`
VertexAI	`openinference-instrumentation-vertexai`
CrewAI	`openinference-instrumentation-crewai`
Haystack	`openinference-instrumentation-haystack`
LiteLLM	`openinference-instrumentation-litellm`
Groq	`openinference-instrumentation-groq`
Instructor	`openinference-instrumentation-instructor`
Anthropic	`openinference-instrumentation-anthropic`

JavaScript

Integration	Package	Version Badge
OpenAI	`@arizeai/openinference-instrumentation-openai`
LangChain.js	`@arizeai/openinference-instrumentation-langchain`
Vercel AI SDK	`@arizeai/openinference-vercel`

For details about tracing integrations and example applications, see the OpenInference project.

Community

Join our community to connect with thousands of AI builders.

🌍 Join our Slack community.
📚 Read our documentation.
💡 Ask questions and provide feedback in the #phoenix-support channel.
🌟 Leave a star on our GitHub.
🐞 Report bugs with GitHub Issues.
𝕏 Follow us on 𝕏.
🗺️ Check out our roadmap to see where we're heading next.

Breaking Changes

See the migration guide for a list of breaking changes.

Copyright, Patent, and License

Portions of this code are patent protected by one or more U.S. Patents. See IP_NOTICE.

This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.

FAQs

What is arize-phoenix?

AI Observability and Evaluation. Visit Snyk Advisor to see a full health score report for arize-phoenix, including popularity, security, maintenance & community analysis.

Is arize-phoenix popular?

The python package arize-phoenix receives a total of 25,488 weekly downloads. As such, arize-phoenix popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is arize-phoenix well maintained?

We found that arize-phoenix demonstrated a healthy version release cadence and project activity. It has a community of 70 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is arize-phoenix safe to use?

The python package arize-phoenix was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 19 December-2024, at 19:13 (UTC).

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arize-phoenix dependencies

FAQs

What is arize-phoenix?

Is arize-phoenix popular?

Is arize-phoenix well maintained?

Is arize-phoenix safe to use?

Build a secure application checklist

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

Installation

Features

Tracing Integrations

JavaScript

Community

Breaking Changes

Copyright, Patent, and License

arize-phoenix dependencies

FAQs

What is arize-phoenix?

Is arize-phoenix popular?

Is arize-phoenix well maintained?

Is arize-phoenix safe to use?

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Scan your app for vulnerabilities

Source Code

Open Source

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Config

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