README

PlotJuggler

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Gold Sponsor: Greenzie

PlotJuggler 3.9

PlotJuggler is a tool to visualize time series that is fast, powerful and intuitive.

Noteworthy features:

  • Simple Drag & Drop user interface.

  • Load data from file.

  • Connect to live streaming of data.

  • Save the visualization layout and configurations to re-use them later.

  • Fast OpenGL visualization.

  • Can handle thousands of timeseries and millions of data points.

  • Transform your data using a simple editor: derivative, moving average, integral, etc…

  • PlotJuggler can be easily extended using plugins.

PlotJuggler

Data sources (file and streaming)

  • Load CSV files.

  • Load ULog (PX4).

  • Subscribe to many different streaming sources: MQTT, WebSockets, ZeroMQ, UDP, etc.

  • Understand data formats such as JSON, CBOR, BSON, Message Pack, etc.

  • Well integrated with ROS: open rosbags and/or subscribe to ROS topics (both ROS1 and ROS2).

  • Supports the Lab Streaming Layer, that is used by many devices.

  • Easily add your custom data source and/or formats…

Transform and analyze your data

PlotJuggler makes it easy to visualize data but also to analyze it. You can manipulate your time series using a simple and extendable Transform Editor.

Alternatively, you may use the Custom Function Editor, which allows you to create Multi-input / Single-output functions using a scripting language based on Lua.

If you are not familiar with Lua, don’t be afraid, you won’t need more than 5 minutes to learn it ;)

Tutorials

To learn how to use PlotJuggler, check the tutorials here:

Tutorial 1

Tutorial 2

Tutorial 3

Supported plugins

Some plugins can be found in a different repository. The individual README files should include all the information needed to compile and use the plugin.

Please submit specific issues, Pull Requests and questions on the related Github repository:

If you want a simple example to learn how to write your own plugins, have a look at PlotJuggler/plotjuggler-sample-plugins

Installation

Compile from source

You can find the detailed instructions here: COMPILE.md.

Sponsorship and commercial support

PlotJuggler required a lot of work to develop and maintain; my goal is to build the most intuitive and powerful tool to visualize data and timeseries.

If you find PlotJuggler useful, consider donating PayPal or becoming a Github Sponsor.

If you need to extend any of the functionalities of PlotJuggler to cover a specific need or to parse your custom data formats, you can receive commercial support from the main author, Davide Faconti.

License

PlotJuggler is released under the Mozilla Public License Version 2.0, which allows users to develop closed-source plugins.

Please note that some third-party dependencies (including Qt) use the GNU Lesser General Public License.

Star History

Star History Chart

Contributors