facontidavide / PlotJuggler

The Time Series Visualization Tool that you deserve.

Home Page:https://www.plotjuggler.io

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PlotJuggler 3.4

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.


Data sources (file and streaming)

  • Load CSV files.
  • Load ULog (PX4).
  • Subscribe to many different streaming sources: MQTT, Websockets, ZeroMQ, UDP, etc.
  • Understands 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, that 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 ;)


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

Tutorial 1 Tutorial 2 Tutorial 3

Supported plugins

Some plugin 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


Binary installers (with basic plugins)

Linux AppImage (compatible with Ubuntu 18.04 or later): PlotJuggler-3.4.1-x86_64.AppImage

Windows Installer: PlotJuggler-Windows-3.4.0-installer

For ROS User

Install the debian packages using:

 sudo apt install ros-$ROS_DISTRO-plotjuggler-ros

How to build

Clone the repository as usual:

git clone https://github.com/facontidavide/PlotJuggler.git

The only binary dependency that you need installed in your system is Qt5. On Ubuntu, the debians can be installed with the the command:

sudo apt -y install qtbase5-dev libqt5svg5-dev libqt5websockets5-dev libqt5opengl5-dev libqt5x11extras5-dev libprotoc-dev

On Fedora:

sudo dnf install qt5-qtbase-devel qt5-qtsvg-devel qt5-websockets-devel qt5-qtopendl-devel qt5-qtx11extras-devel

Then compile using cmake (qmake is NOT supported):

 mkdir build; cd build
 cmake ..
 sudo make install

Note: the plugins need to be installed in the same folder of the executable.

Note for ROS users

To install PlotJuggler, just type:

sudo apt install ros-${ROS_DISTRO}-plotjuggler-ros

To launch PlotJuggler on ROS, use the command:

  rosrun plotjuggler plotjuggler

or, if are using ROS2:

   ros2 run plotjuggler plotjuggler

Since version 3.x, ROS plugins have been moved to a separate repository:


Refer to the instructions in the this repository if you want to compile PJ and its ROS plugins from source.

If you like PlotJuggler, support it.

PlotJuggler required a lot of work to be developed; my goal is to build the most intuitive and powerfull tool to visualize data and timeseries.

If you find PlotJuggler useful, consider making a donation on PayPal or become a Github Sponsor.

If you use PlotJuggler at work, your company can support the development of those specific features they need.

Contact me for more details.


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The Time Series Visualization Tool that you deserve.


License:GNU Lesser General Public License v3.0


Language:C++ 92.5%Language:C 4.5%Language:CMake 1.9%Language:QMake 0.4%Language:Python 0.3%Language:Qt Script 0.2%Language:Batchfile 0.1%Language:HTML 0.1%Language:Dockerfile 0.0%