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What is Phoenix Framework?

Effortlessly develop interactive and captivating web applications while minimizing code and simplifying complexity. Join our growing community of developers who are harnessing the power of Phoenix to create APIs, HTML5 applications, and a variety of projects, whether for fun or significant endeavors. Interact with users in real-time and manage connections across various nodes through our built-in Channels and Presence functionalities. Alternatively, delve into LiveView for an innovative method to craft real-time applications that bypass the challenges of client-side coding. At its core, Phoenix is a powerful web framework that enriches the traditional Model-View-Controller (MVC) architecture with cutting-edge functional ideas. By focusing on your business objectives, Phoenix not only enhances your immediate productivity but also guarantees the long-term sustainability of your code. This framework equips developers with the tools needed to produce high-quality applications swiftly and efficiently, allowing for a smoother development experience. Thus, embracing Phoenix can lead to better outcomes for both developers and the users they serve.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

Fly.io
Inertia
daisyUI

Integrations Supported

Codestral
Codestral Mamba
CrewAI
Databricks
GitHub
Guardrails AI
JavaScript
JupyterLab
LangChain
LlamaIndex
Ministral 8B
Mistral 7B
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
OpenAI
Vercel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
Chromebook
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Phoenix Framework

Company Website

phoenixframework.org

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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