Arize Phoenix

Arize Phoenix

Arize AI
DeepEval

DeepEval

Confident AI
+
+

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About

Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.

About

DeepEval is a simple-to-use, open source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. The framework supports synthetic dataset generation with advanced evolution techniques and integrates seamlessly with popular frameworks, allowing for efficient benchmarking and optimization of LLM systems.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI engineers seeking a tool to enhance the observability and performance of their AI and LLM applications

Audience

Professional users interested in a tool to evaluate, test, and optimize their LLM applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Arize AI
United States
docs.arize.com/phoenix

Company Information

Confident AI
United States
docs.confident-ai.com

Alternatives

Alternatives

Opik

Opik

Comet
Logfire

Logfire

Pydantic
Arize Phoenix

Arize Phoenix

Arize AI

Categories

Categories

Integrations

LangChain
LlamaIndex
OpenAI
Amazon Bedrock
CoLab
Codestral
Codestral Mamba
Databricks Data Intelligence Platform
GitHub
Guardrails AI
Haystack
Hugging Face
JavaScript
JupyterLab
Le Chat
Mathstral
Mixtral 8x7B
Ragas
Slack
Vercel

Integrations

LangChain
LlamaIndex
OpenAI
Amazon Bedrock
CoLab
Codestral
Codestral Mamba
Databricks Data Intelligence Platform
GitHub
Guardrails AI
Haystack
Hugging Face
JavaScript
JupyterLab
Le Chat
Mathstral
Mixtral 8x7B
Ragas
Slack
Vercel
Claim Arize Phoenix and update features and information
Claim Arize Phoenix and update features and information
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Claim DeepEval and update features and information