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

Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams.

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

Engineering and operations teams building and running complex physical machines that want to ingest, store, analyze, and act on high-volume telemetry and event data

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

Sift
United States
www.siftstack.com

Alternatives

Alternatives

Opik

Opik

Comet
Sawmills

Sawmills

Sawmills.ai
Logfire

Logfire

Pydantic
Elastic APM

Elastic APM

Elastic

Categories

Categories

Integrations

APIFuzzer
Amazon Bedrock
Arize AI
Databricks Data Intelligence Platform
GitHub
Guardrails AI
JupyterLab
LlamaIndex
Mathstral
Ministral 8B
Mistral 7B
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
OpenTelemetry
Pixtral Large
Python
Vertex AI

Integrations

APIFuzzer
Amazon Bedrock
Arize AI
Databricks Data Intelligence Platform
GitHub
Guardrails AI
JupyterLab
LlamaIndex
Mathstral
Ministral 8B
Mistral 7B
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
OpenTelemetry
Pixtral Large
Python
Vertex AI
Claim Arize Phoenix and update features and information
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