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ipyvizzu - Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax ipyvizzu is an animated charting tool for Jupyter, Google Colab, Databricks, Kaggle and Deepnote notebooks among other platforms. ipyvizzu enables data scientists and analysts to utilize animation for storytelling with data using Python. It's built on the open-source JavaScript/C++ charting library Vizzu. There is a new extension of ipyvizzu, ipyvizzu-story with which the animated charts...

...Background and foreground color selection is provided in order to experiment with colors for your application. The editor can display very large .xbm files in their actual size but the maximum bitmap size that can be edited is 2500 pixels. This limit is arbitrary and can easily be changed, but bitmap edit grid loading and, in particular, garbage collection become quite slow if the limit is a lot more than 2500 pixels. The gridMax constant sets max size.

GLE is a library of C functions that draw extruded surfaces, including surfaces of revolution, sweeps, tubes, polycones, polycylinders and helicoids. GLE uses the OpenGL(R) API to perform the actual rendering.