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Qt-based implementation of VisOpt Slider widget

Project description

VisOpt Slider

GitHub PyPI

Qt-based implementation of VisOpt Slider widget [UIST 2014]

If your applications are based on Qt (PySide2), it is quite easy to integrate a VisOpt Slider widget into your applications.


VisOpt Slider is a GUI widget consisting of multiple sliders. It is specifically designed for interactive exploration of a high-dimensional scalar-valued function. It has the following special features.

  • Visualization: VisOpt Slider visualizes the values of the target function along with the sliders in the interface using a colormap.
  • Optimization: Not available yet. Please refer to the original paper (Koyama et al. 2014) and its extended version (Koyama et al. 2016).


This package can be install via pip:

pip install visoptslider

By this, the dependencies (matplotlib, numpy, PySide2, and their dependencies) will be automatically installed together.


from PySide2.QtWidgets import QApplication
import numpy as np
import visoptslider

if __name__ == "__main__":
    app = QApplication()

    # Define a target function
    num_dimensions = 3
    def target_function(x):
        return 1.0 - np.linalg.norm(x)

    # Define a target bound
    upper_bound = np.array([+1.0, +1.0, +1.0])
    lower_bound = np.array([-1.0, -1.0, -1.0])
    maximum_value = 1.0
    minimum_value = 0.0

    # Instantiate and initialize VisOpt Slider
    sliders_widget = visoptslider.SlidersWidget()

    # Show VisOpt Sliders


See for more detailed examples.


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