Live timeseries analysis on your desktop!
Lognplot is a graphical viewer for time series data. Unlike many other projects in this area, lognplot is not a hosted web application. It is a desktop application which visualizes your streaming data. A primary usecase would be to visualize live data, coming from an embedded or a robotic system.
Features:
- Zoom levels
- Fast query of data
- python GUI implementation (based on PyQt5)
- rust GUI implementation (based on gtk-rs / cairo)
- Send data over TCP/IP link to GUI.
This is an example screenshot of the lognplot python application, visualizing 10 million datapoints. Note that zooming is still smoothly performed.
This is an example screenshot of the GTK gui implemented with rust, visualizing also 10 million datapoints.
This is an example of the plot window, when zoomed out. Note that not all points are displayed, but aggregates of the data are visualized as min/max/mean/stddev lines.
When zooming into the data, the individual data points come into picture.
Note that at this moment, you will want to grab the latest git version from github.
First clone this repository: $ git clone https://github.com/windelbouwman/lognplot.git
For python, follow this steps:
$ cd lognplot/python
$ pip install --editable .
$ python -m lognplot
For rust, follow these steps:
$ cd lognplotgtk
$ cargo run --release
Packages are release for rust and python
Rust crate: https://crates.io/crates/lognplot
Python package: https://pypi.org/project/lognplot/
For the GTK variant of the tool, you need the following to be installed:
- cairo-gobject-devel
- pango-devel
- atk-devel
- gdk-pixbuf2-devel
- gtk3-devel
- hdf5-devel
To use the python side of this code, start as a demo the softscope:
$ cd python
$ python softscope.py
This will popup a plot window. Zooming and panning can be done with the keyboard keys w,a,s,d and i,j,k,l. Press space or enter to autofit. The data is a 10 kHz generated signal.
Another demo is the softscope server. This will open a TCP/IP port which can receive data.
$ cd python
$ python -m lognplot
The softscope is now ready to receive streaming data via network.
Next, start the demo datasource, which will send data via TCP to this GUI:
$ cd demo
$ python noize_source.py
Another server demo is the rust side of the code. Start the GUI like this:
$ cd lognplotgtk
$ cargo run
This application will be able to receive data via TCP/IP.
Documentation for python users can be found here: https://lognplot.readthedocs.io/en/latest/ Documentation for rust users can be found here: https://docs.rs/lognplot
This is a list of things to do:
- PyQt5 implementation
- gtk-rs implementation
- Append data structure to enable appending new data
- Data point aggregation for zooming out and showing min/max/mean lines
There is an interesting list of similar projects. Do you know of another project? Please submit a pull request or an issue!
- getcurve.io (https://getcurve.io/)
- grafana (https://grafana.com/)
- KST plot (https://kst-plot.kde.org/)
- plot juggler https://github.com/facontidavide/PlotJuggler
- tracy profiler (https://bitbucket.org/wolfpld/tracy)
- trace compass: https://www.eclipse.org/tracecompass/
- sigrok: https://sigrok.org
- speedscope: https://www.speedscope.app/
The project is divided into several crates.
- A time series database ala sqlite to store time series and query them.
- A cairo based drawing
- use vulkano-rs instead of openGL
- use cassowary to layout parts of the GUI
- render pretty lines using shaders