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What you can do with Dalaran

Dalaran is an Apache-2.0 robotics visualization and data tool that logs, stores, replays, and queries multimodal time-series data such as ROS 2 topics, LiDAR, camera, IMU, and TF.

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Flaminis/Dalaran on GitHub

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What do you want to do?

5 use cases

  • Open an existing .rrd recording in the Dalaran viewer

    Replay an upstream .rrd recording on one timeline without converting it first.

    View prompt
    Using the Flaminis/Dalaran repository, install dalaran-sdk with pip and open <recording_path> with the dalaran command. Report whether the viewer opens the file and list the entity paths you can see. Verify that the timeline shows data from more than one sensor.

  • Save a Python sensor run to a .dlr file for later review

    Log data from a script to a .dlr file and open it in the viewer afterward.

    View prompt
    In the Flaminis/Dalaran repository, install dalaran-sdk with pip, then write a Python script that logs 100 frames of a point cloud to session.dlr using dl.save. Expected output is a session.dlr file. Verify it by running dalaran session.dlr and confirming the frame timeline appears.

  • Check a workstation for viewer and driver problems before a robot session

    Run the built-in doctor command to find setup problems in plain language.

    View prompt
    In the Flaminis/Dalaran repository, install the dalaran-cli binary and run dalaran doctor on this machine. Expected output is a list of findings about build info, graphics adapters, and environment variables. Verify that the report names no failing item before the robot session starts.

  • Show nav2 costmaps from a rosbag2 replay next to robot poses

    Replay a rosbag2 with nav2 costmap topics and inspect the layers on one timeline.

    View prompt
    In the Flaminis/Dalaran repository, replay <bag_path> into a .dlr file using the ROS 2 bridge and open it with the dalaran command. Expected output is a viewer showing nav2 costmap grids on the timeline. Verify that the global and local costmap entities appear and that lethal and inflated obstacle cells are shown as separate categories.

  • Export recording data to dataframes for computation

    Load a Dalaran recording into a dataframe to compute on it instead of viewing it.

    View prompt
    In the Flaminis/Dalaran repository, install dalaran-sdk and load <recording_path> into a dataframe using the dl_dataframe view. Expected output is a table of rows for each logged entity and timeline value. Verify that the row count matches the number of frames logged in the source run.

How to use Dalaran

  1. Check you have what it needs: Python with pip, or Rust with cargo, to install the Dalaran SDK or viewer; A terminal to run the dalaran command; An existing .rrd, .dlr, or MCAP recording, or a ROS 2 setup with rosbag2 files, for the replay use cases.
  2. Open Flaminis/Dalaran on GitHub and read the README and license.
  3. Run pip install dalaran-sdk to install the Python package that ships the viewer.
  4. Run dalaran recording.rrd in the folder that holds your recording, replacing recording.rrd with your file name.
  5. Scrub the timeline and check that the point clouds, camera frames, and transforms line up with each other.
  6. If you want a normalized copy, run dalaran convert as described in the README and open the new .dlr file.

These steps come from our top use case, Open an existing .rrd recording in the Dalaran viewer, which also has a copy-paste agent prompt.

Dalaran alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forRobotics engineers and developers who record or simulate robot runs and need to inspect, share, or compute on sensor data on one timeline.
  • Why it is hot
  • LanguageRust
  • Sourcegithub.com/Flaminis/Dalaran · Back to Hot repos

Requirements

  • Python with pip, or Rust with cargo, to install the Dalaran SDK or viewer
  • A terminal to run the dalaran command
  • An existing .rrd, .dlr, or MCAP recording, or a ROS 2 setup with rosbag2 files, for the replay use cases
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Questions about Dalaran

What is Dalaran?

Dalaran is an Apache-2.0 robotics visualization and data tool that logs, stores, replays, and queries multimodal time-series data such as ROS 2 topics, LiDAR, camera, IMU, and TF. It is an open-source project on GitHub: https://github.com/Flaminis/Dalaran.

Who is Dalaran for?

Robotics engineers and developers who record or simulate robot runs and need to inspect, share, or compute on sensor data on one timeline.

What can I do with Dalaran?

5 use cases so far, for example: Open an existing .rrd recording in the Dalaran viewer; Save a Python sensor run to a .dlr file for later review; Check a workstation for viewer and driver problems before a robot session. Each has steps and a copy-paste agent prompt.

What do I need to run Dalaran?

Python with pip, or Rust with cargo, to install the Dalaran SDK or viewer; A terminal to run the dalaran command; An existing .rrd, .dlr, or MCAP recording, or a ROS 2 setup with rosbag2 files, for the replay use cases.

What are alternatives to Dalaran?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Dalaran safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.