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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 Evidently AI?

A comprehensive open-source platform designed for monitoring machine learning models provides extensive observability capabilities. This platform empowers users to assess, test, and manage models throughout their lifecycle, from validation to deployment. It is tailored to accommodate various data types, including tabular data, natural language processing, and large language models, appealing to both data scientists and ML engineers. With all essential tools for ensuring the dependable functioning of ML systems in production settings, it allows for an initial focus on simple ad hoc evaluations, which can later evolve into a full-scale monitoring setup. All features are seamlessly integrated within a single platform, boasting a unified API and consistent metrics. Usability, aesthetics, and easy sharing of insights are central priorities in its design. Users gain valuable insights into data quality and model performance, simplifying exploration and troubleshooting processes. Installation is quick, requiring just a minute, which facilitates immediate testing before deployment, validation in real-time environments, and checks with every model update. The platform also streamlines the setup process by automatically generating test scenarios derived from a reference dataset, relieving users of manual configuration burdens. It allows users to monitor every aspect of their data, models, and testing results. By proactively detecting and resolving issues with models in production, it guarantees sustained high performance and encourages continuous improvement. Furthermore, the tool's adaptability makes it ideal for teams of any scale, promoting collaborative efforts to uphold the quality of ML systems. This ensures that regardless of the team's size, they can efficiently manage and maintain their machine learning operations.

Media

Media

Integrations Supported

C++
Python
Rust

Integrations Supported

ZenML

API Availability

Has API

API Availability

Pricing Information

$18 per month
Free Version

Pricing Information

$500 per month
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / 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

Evidently AI

Date Founded

2020

Company Location

United States

Company Website

www.evidentlyai.com

Categories and Features

AI Observability

Not specified

Observability

Not specified

Categories and Features

AI Development

Not specified

AI Observability

Not specified

Data Quality

Not specified

Machine Learning

Not specified

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