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Bagel (Bag ExpLoration) for ROSBAGs

Bagel (Bag ExpLoration) for ROSBAGs

by Hussain04·Jul 24, 2026·3 points·0 comments
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AI Analysis

●●●BangerWizardryBig BrainSolve My Problem

Full ROS bag inspection in-browser without installing Foxglove or ROS itself.

Strengths
  • •Worker-isolated parsing handles multi-gigabyte datasets without blocking the UI.
  • •Supports seven file formats including MCAP, PCD, and 3D Gaussian splats.
  • •HTTP range streaming enables remote file inspection without full downloads.
Weaknesses
  • •Robotics niche limits audience despite impressive technical execution.
  • •No mention of real-time streaming from live robots beyond URL input.
Target Audience

Robotics engineers, researchers, autonomous vehicle developers

Similar To

Foxglove Studio · RViz · Webviz

Post Description

Hello HN!

BAGEL is a fully static web application that lets you explore ROS bag files (.mcap, .db3, .bag), standalone point cloud files (.pcd, .ply), and 3D Gaussian Splat scenes (.ply, .splat, .ksplat) entirely in your browser needing no server, no installation, no account. Just drag and drop :D

Robotics engineers and researchers frequently generate bag files during experiments, SLAM runs, and sensor calibration. Inspecting these files currently requires a full ROS1 or ROS2 installation, Foxglove Studio (increasingly commercial), or writing custom Python scripts for every inspection task.

So to eliminate this friction, I have created BAGEL. It is fully MIT-licensed, here's the repo: https://github.com/Hussain004/bagel

(Give it a star if you find it a helpful, it means the world!)

I am always open to feedback and criticism.

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