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What is Foxglove?

Foxglove is an advanced platform tailored for the visualization, observability, and management of data specifically in the fields of robotics and embodied AI, effectively bringing together a variety of extensive and intricate multimodal temporal datasets such as time series, sensor logs, imagery, lidar/point clouds, and geospatial maps into a single cohesive workspace. It allows engineers to adeptly record, import, organize, stream, and visualize both live and archived data from robotic systems through customizable, user-friendly dashboards that include interactive panels for 3D scenes, plots, images, and maps, thus improving insights into robotic perception, cognition, and actions. Moreover, Foxglove enables seamless real-time integration with systems like ROS and ROS 2 via bridges and web sockets, supports cross-platform functionality (available as a desktop application for Linux, Windows, and macOS), and enhances the processes of analysis, debugging, and performance improvement by synchronizing various data sources in both temporal and spatial dimensions. Its intuitive interface and extensive range of features make it an essential resource for both researchers and developers, facilitating a more efficient workflow within the ever-evolving landscape of robotics. Ultimately, the platform is designed to adapt to the fast-paced advancements in technology, ensuring users remain at the forefront of innovation.

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

Python
Rust

Integrations Supported

Python
APIFuzzer
Amazon Bedrock
CoLab
Codestral
Codestral Mamba
GitHub
Guardrails AI
Haystack
JavaScript
LlamaIndex
Mathstral
Ministral 3B
Ministral 8B
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$18 per month
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Foxglove

Date Founded

2021

Company Location

United States

Company Website

foxglove.dev/

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

AI Observability

Not specified

Observability

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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