SciQLopPlots is a powerful and efficient plotting library designed for the SciQLop scientific data analysis platform. It provides interactive visualization capabilities optimized for handling large-scale scientific datasets with seamless integration into SciQLop's ecosystem.
- High-Performance Rendering: Optimized for smooth interaction with large non uniform 1D, 2D datasets.
- Interactive Visualization: Pan, zoom, and inspect data points in real time.
- Multiple Plot Types: Supports time series, spectrograms, parametric curves.
- Customizable Styling: Adjust colors, labels, axes, and plot layouts programmatically or via GUI.
- Cross-Platform: Works on Windows, Linux, and macOS.
SciQLopPlots can be installed as a stadalone Python package with pip.
python -m pip install SciQLopPlotsJust fork the repository, make your changes and submit a pull request. We will be happy to review and merge your changes. Reports of bugs and feature requests are also welcome. Do not forget to star the project if you like it!
The development of SciQLop is supported by the CDPP.
We acknowledge support from the federation Plas@Par
We would like to thank the developers of the following libraries that SciQLop depends on:
- PySide6 for the GUI framework and Qt bindings.
- QCustomPlot for providing the plotting library.