Arize Phoenix

Arize Phoenix

Arize 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

LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production.

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

AI engineering and governance teams that need transparent, continuous evaluations to compare models, monitor production behavior, and reduce risk before deployment

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

No information available.
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

LayerLens
United States
stratix.layerlens.ai/

Alternatives

Alternatives

DeepEval

DeepEval

Confident AI
Opik

Opik

Comet
Logfire

Logfire

Pydantic
Braintrust

Braintrust

Braintrust Data

Categories

Categories

Integrations

Databricks
Mistral AI
OpenAI
APIFuzzer
Amazon Web Services (AWS)
Anthropic
Cohere
Conda
DeepSeek
Google AI Mode
Guardrails AI
LlamaIndex
Mathstral
Microsoft 365
Ministral 3B
Mistral NeMo
Mixtral 8x22B
Qwen
Slack
Vercel

Integrations

Databricks
Mistral AI
OpenAI
APIFuzzer
Amazon Web Services (AWS)
Anthropic
Cohere
Conda
DeepSeek
Google AI Mode
Guardrails AI
LlamaIndex
Mathstral
Microsoft 365
Ministral 3B
Mistral NeMo
Mixtral 8x22B
Qwen
Slack
Vercel
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