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Foxglove

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Software Status:Active

About Foxglove

Foxglove is a visualization and management platform from Foxglove that supports temporal and multimodal data analysis. It combines data visualization, issue discovery, and performance monitoring so robotics companies can build reliable robots and accelerate development. Foxglove helps users understand how their robots sense, think, and act, facilitating faster learning and iteration. With its comprehensive tools, users can visualize real-time data, debug issues efficiently, and resolve challenges quickly. Key capabilities: data visualization issue discovery performance monitoring real-time analytics multimodal data support Best for: robotics companies that need to build and operate reliable robotic systems.

Foxglove Details

Vendor
Foxglove
Year Launched
2021
Location
San Francisco, CA US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese
Users
Robotics engineers, Software developers, AI researchers, Autonomous vehicle teams, Automation teams, Data scientists, Embedded systems developers, Product managers, QA analysts, Debugging specialists
Industries Served
Autonomous vehicles, Aerospace & defense, Robotics, Manufacturing, Logistics & supply chain, Agriculture, Forestry, Marine, Construction, Mining, Health & wellbeing, Drone technology, Humanoid robotics, Underwater robotics, Mobile robotics
Tags
Data Visualization, Cybersecurity, Network Traffic Analysis, Packet Analysis, Threat Detection, Malware Analysis, Security Operations, Incident Response, Visualization Tools

Foxglove's In-App Market Place

Does Foxglove have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), CNY (¥), INR (₹), RUB (₽)

Pros & Cons

  • Robotics-Specific Observability: Purpose-built for physical AI, providing deep visual debugging for robot data (images, point clouds, etc.).
  • Comprehensive Data Handling: Manages, processes, indexes, and stores petabytes of complex multimodal robot data efficiently.
  • Accelerates Development: Streamlines debugging, analysis, and collaboration, significantly speeding up robotics development and issue resolution.
  • Highly Extensible: Allows custom panels, message conversions, and tailored layouts for unique workflows.
  • Flexible Access: Offers UI, API, and CLI access for diverse user needs and automation.
  • Niche Audience: Highly specialized for robotics and physical AI, meaning limited applicability for general data visualization or BI.
  • Complexity: The depth of features and the nature of robotics data suggest a significant learning curve for new users or less experienced developers.
  • Potential Integration Effort: While it simplifies data handling, integrating with highly custom robot software and hardware might still require dedicated engineering effort.

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