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MOLAorg / rosbag_timing_inspector

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A GUI tool to visualize and analyze message timing from ROS 2 bags (`.mcap` or `.db3`)

13
0
100% credibility
Found May 13, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C++
AI Summary

A graphical desktop tool for visualizing message timelines, histograms, and statistics from data log files without needing to unpack the contents.

How It Works

1
🔍 Find the timing viewer

You come across a handy little app that lets you peek at the timing in your data recordings, like checking the rhythm of events in a log file.

2
💻 Get the app ready

You follow straightforward steps to add this viewer to your computer setup, making it easy to use with your existing tools.

3
📁 Launch and open a file

Start the app, either by picking a recording file right away or using the menu to choose one from your folders.

4
📊 See the message timeline

A colorful chart pops up with dots showing exactly when each bit of data arrived, laid out like lanes for different streams.

5
🔍 Zoom and poke around

Use your mouse to scroll in for close-ups, drag to shift views, and check boxes to show or hide specific streams.

6
📈 Dive into stats and measures

Switch tabs to view charts of time gaps between messages and click on the timeline to measure exact differences effortlessly.

✅ Understand your data flow

You now clearly spot steady rhythms, delays, or issues in your recordings, making troubleshooting a breeze.

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Star Growth

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AI-Generated Review

What is rosbag_timing_inspector?

This GitHub GUI app in C++ lets ROS 2 developers visualize message timing from bag files (.mcap or .db3) without deserializing payloads, pulling just timestamps and topics for instant loading. Launch it via command line like `rosbag_timing_inspector recording.mcap` or open bags through the menu on Ubuntu Linux setups. Built on Dear ImGui and ImPlot, it delivers a responsive GUI client with timeline scatter plots and stats tables right out of your ROS 2 workspace.

Why is it gaining traction?

It stands out with a zoomable timeline where dots map messages to topic lanes—pan, toggle visibility, measure delta-T by clicking lines—for quick latency hunts that beat command-line tools. The histograms tab shows per-topic interval distributions plus stats (mean, std, min/max in ms), all with tooltip UI hints on hover. Async loading keeps the GUI snappy even for huge bags, and zero deps beyond ROS 2 make it a drop-in GUI tool for Linux.

Who should use this?

ROS 2 robotics engineers debugging dropped messages or jitter in bags from sensors, nav stacks, or multi-robot fleets. Bag analysts on Ubuntu who skip heavy tools for fast per-topic frequency checks during replay validation. Teams iterating on real-time systems needing visual proof of timing before diving into logs.

Verdict

Grab it if you're in ROS 2 and need quick bag timing insights—docs and build are solid for a 13-star project. At 1.0% credibility, it's early but MIT-licensed and focused; test on your Jazzy setup before production reliance.

(198 words)

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