Self-Hosted ROS Monitoring & Visualization Tools: Rosboard vs Webviz vs PlotJuggler

Introduction

When operating robot fleets or debugging complex autonomous systems, real-time visibility into sensor data, control signals, and system state is essential. While RViz provides 3D visualization for individual robots, self-hosted web-based monitoring tools give you fleet-wide dashboards, historical data analysis, and remote debugging capabilities. In this guide, we compare three open-source ROS monitoring and visualization platforms — Rosboard, Webviz, and PlotJuggler — for building comprehensive robot observability stacks.

Why Self-Host Robot Monitoring?

Off-the-shelf robotics monitoring is fragmented — each robot manufacturer provides its own proprietary dashboard, creating data silos across heterogeneous fleets. Self-hosting a unified monitoring platform gives you a single pane of glass for all your robots regardless of vendor, sensor configuration, or ROS distribution version. This is particularly valuable for logistics warehouses running mixed fleets of AMRs from different manufacturers, or research labs with custom-built robots that don’t fit any commercial monitoring solution.

Beyond visualization, self-hosted monitoring enables automated alerting and data retention. When a robot’s battery voltage drops below threshold or motor temperature spikes, your monitoring system can trigger webhooks, send Slack notifications, or log to Prometheus for long-term trend analysis. For teams already using Grafana dashboards, see our API gateway observability guide. If you’re building information displays for your operations center, our E-Ink dashboard guide covers low-power alternatives. For air quality sensor integration that complements environmental monitoring on mobile robots, check our air quality monitoring guide.

Platform Comparison

Installing Rosboard

Rosboard runs as a ROS node that serves a web dashboard directly from your robot or a central monitoring server:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11

# Clone and build Rosboard in your catkin workspace
cd ~/catkin_ws/src
git clone https://github.com/dheera/rosboard.git
cd ~/catkin_ws && catkin_make

# Launch Rosboard (serves on port 8888 by default)
rosrun rosboard rosboard_node

# Access at http://<robot-ip>:8888
# Optional: specify custom port
rosrun rosboard rosboard_node _port:=8080

Rosboard automatically discovers all active ROS topics and displays them as individual panels. Each panel shows real-time data with basic plotting for numeric topics and image rendering for camera feeds.

Setting Up Webviz

Webviz provides a more feature-rich browser-based visualization environment with support for ROS 2:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12

# Install via pip (recommended for server deployment)
pip3 install webviz

# Launch Webviz server
webviz --port 8080

# Or with a custom layout configuration
webviz --port 8080 --layout /path/to/layout.json

# For ROS connectivity, run rosbridge first:
sudo apt install -y ros-humble-rosbridge-suite
ros2 launch rosbridge_server rosbridge_websocket_launch.xml

Webviz supports complex multi-panel layouts defined in JSON configuration files. You can create dedicated dashboards for different robot subsystems — one for navigation (showing path planners and costmaps), another for perception (camera feeds and object detections), and a third for system health (CPU, memory, battery levels).

Deploying PlotJuggler for Fleet-Wide Analysis

PlotJuggler excels at time-series analysis and can be deployed on a central server for fleet-wide data inspection:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15

# Install PlotJuggler with ROS plugins
sudo apt install -y ros-humble-plotjuggler-ros

# Launch standalone (for ROS bag analysis)
ros2 run plotjuggler plotjuggler

# Or with specific plugins for streaming
sudo apt install -y ros-humble-plotjuggler-ros-plugins

# For remote access, use X11 forwarding:
ssh -X user@monitoring-server plotjuggler

# Or stream via VNC for persistent sessions
vncserver :1 -geometry 1920x1080
DISPLAY=:1 ros2 run plotjuggler plotjuggler

PlotJuggler’s XML layout files can be version-controlled and shared across teams, ensuring everyone uses the same diagnostic views when investigating robot issues.

Building a Complete Robot Observability Pipeline

For production deployments, combine these tools into a layered monitoring architecture. Layer 1 — use Rosboard on each robot for quick, zero-configuration debugging during development. The single-command launch and automatic topic discovery make it ideal for field troubleshooting. Layer 2 — deploy Webviz on a central server as the operations dashboard, with pre-configured layouts for each robot type in your fleet. Webviz’s panel system lets operators monitor dozens of robots simultaneously with color-coded status indicators. Layer 3 — use PlotJuggler for post-mortem analysis of ROS bag files after incidents, identifying root causes through detailed time-series comparison of sensor data and control commands.

Data retention is a key consideration. ROS bag files from a single robot can generate gigabytes per hour with camera and LIDAR data. Use rosbag compression and automated pruning scripts to manage storage. For long-term metrics, forward key numeric topics (battery voltage, motor currents, localization error) to Prometheus via a rosbridge-to-Prometheus exporter.

Integrating Robot Monitoring with Your Observability Stack

For teams already running Prometheus, Grafana, and Alertmanager for infrastructure monitoring, extending this stack to cover robot fleets is a natural next step. The key challenge is bridging ROS’s topic-based publish-subscribe model to Prometheus’s pull-based metrics collection. Several approaches work well in practice.

Option 1: Rosbridge to Prometheus exporter. Deploy a custom Python node that subscribes to relevant ROS topics (battery state, motor temperatures, localization covariance, system resource usage) and exposes them as a Prometheus metrics endpoint on port 9091. This approach requires writing a small adapter but gives you full control over which metrics are collected and how they’re labeled. Use the prometheus_client Python library with a ROS subscriber callback that updates gauge and counter metrics.

Option 2: Loki for robot logs. Robot log messages published on /rosout can be forwarded to Grafana Loki for centralized log aggregation. The promtail agent can tail ROS log directories or receive syslog-formatted messages from a rosout-to-syslog bridge. Combined with Grafana dashboards, this gives operators the ability to correlate log messages with metric anomalies — for example, seeing “Motor 3 overtemperature warning” logs alongside rising motor temperature metrics.

Option 3: ROS bag to Parquet conversion. For long-term historical analysis, convert ROS bag files to Apache Parquet format using the rosbag2_to_parquet tool. Parquet’s columnar storage enables efficient SQL queries over months of robot data — “show me all instances where localization error exceeded 0.5m while battery was below 20% in the past quarter.” Store Parquet files in object storage (MinIO) and query them with DuckDB or Apache Spark.

Alerting strategy. Define multi-level alerting thresholds: Warning alerts (battery below 30%, motor temperature above 60°C) go to Slack or Discord; Critical alerts (battery below 10%, motor above 80°C, localization failure) trigger PagerDuty or a webhook that commands the robot to enter a safe stop state. Use Alertmanager’s inhibition rules to suppress lower-priority alerts when a higher-priority one is already firing for the same robot.

FAQ

Can I use these tools without ROS?

Rosboard and Webviz require ROS (or rosbridge) for data streaming, but can replay ROS bag files offline. PlotJuggler supports CSV, ULog (PX4), and other non-ROS formats, making it useful for non-ROS robots and general time-series analysis.

How do I secure remote access to robot dashboards?

Deploy these tools behind a reverse proxy (nginx or Caddy) with TLS encryption and authentication. Rosboard and Webviz don’t include built-in auth, so use HTTP basic auth or OAuth2 via the reverse proxy. For production fleets, consider running the monitoring stack on a VPN-accessible server rather than exposing individual robot dashboards to the internet.

Does PlotJuggler work over the web like Rosboard?

Not natively — PlotJuggler is a Qt desktop application. For web-based access, use X11 forwarding over SSH, a VNC server, or the PlotJuggler WebSocket plugin (community-maintained). Rosboard and Webviz are the recommended choices when web-based access is a requirement.

How do these compare to Foxglove Studio?

Foxglove Studio is a commercial tool with a free tier that offers polished 3D visualization and MCAP support. Rosboard is the lightest and easiest to deploy, Webviz offers comparable web-based functionality (and originated at Cruise), and PlotJuggler provides the best time-series analysis capabilities. Foxglove’s self-hosted option requires a license for advanced features.

Can I monitor non-ROS robot data alongside ROS topics?

Yes. Webviz can display data from any source via custom panels. PlotJuggler supports importing CSV, JSON, and ULog formats. A common pattern is to run a bridge service that converts MQTT, gRPC, or proprietary robot protocols into ROS topics, then use these tools for visualization.

💰 想测试你的市场判断力？我用 Polymarket 做预测市场交易——这是全球最大的预测市场平台，从大选结果到技术监管时间线，什么都可以押注。和赌博不同，这是真正的信息市场：你懂的信息越多，胜率越高。我靠预测技术相关事件的走向已经赚了不少。用我的邀请链接注册：Polymarket.com