The Time Series Visualization Tool that you deserve.
Gold Sponsor: Greenzie
PlotJuggler is a tool to visualize time series that is fast, powerful and intuitive.
Noteworthy features:
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 😉
To learn how to use PlotJuggler, check the tutorials here:
Tutorial 1 | Tutorial 2 | Tutorial 3 |
---|---|---|
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
The snap contains a version of PlotJuggler that can work with either ROS1 or ROS2.
To install it in Ubuntu 22.04, with ROS2 support, run:
sudo snap install plotjuggler
If you are still using ROS1 (Ubuntu 20.04), install instead:
sudo snap install plotjuggler-ros
This installer does not include ROS plugins.
Windows Installer:
PlotJuggler-Windows-3.9.3-installer
Install the ROS packages with:
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
ROS plugins are available in a separate repository: https://github.com/PlotJuggler/plotjuggler-ros-plugins
Please take a look at the instructions in that repository if you want to compile PJ and its ROS plugins from source.
You can find the detailed instructions here: COMPILE.md.
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.
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.