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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 Dash0?

Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap. Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products. Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code. Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components. Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests. Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause. Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.

Media

Media

Integrations Supported

Python

Integrations Supported

Python
Akamai
All Quiet
Argo CD
BigHand AlertManager
ClickHouse
Confluent
Cursor
Fluent Bit
GitHub Copilot
Go
Istio
JavaScript
Kubernetes
Kyverno
Logstash
Node.js
PagerDuty
Vector
Zed

API Availability

Has API

API Availability

Has API

Pricing Information

$18 per month
Free Version

Pricing Information

$0.00 per month
Completely transparent usage based pricing
Free Trial Offered?

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
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Foxglove

Date Founded

2021

Company Location

United States

Company Website

foxglove.dev/

Company Facts

Organization Name

Dash0

Date Founded

2023

Company Location

United States

Company Website

www.dash0.com

Categories and Features

AI Observability

Not specified

Observability

Not specified

Categories and Features

AI Observability

Not specified

AI SRE Agents

Not specified

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

IT Alerting

Not specified

Log Analysis

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Website Monitoring

Not specified

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