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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 can be presented right from the notebooks. Since ipyvizzu-story's syntax is a bit different to ipyvizzu's, we suggest you to start from the ipyvizzu-story repo if you're interested in using animated charts to present your findings live or to share your presentation as an HTML file.

...Usually many operations in 3D workflow are highly redundant and often actions have to be repeated several times or instead being executed in self-made scripts.Scripting is in fact for most people a very nasty and time consuming action. This application module tries to fill the gap where it learns workflows which can in order be modified, multiplied, adapted organically to allow a fast and versatile Workflows, where currently rigid working habits will not Compete. ...also making scripting finally obsolete. currently the development is started with Autodesk Maya. More 3D platforms will come after this project is succeeding.

Pivot: Revolution is a remake of the highly popular Pivot Stickfigure Animator, which was designed to allow easy animation using stick figures. Pivot: Revolution, however, will add many features on top of it, allowing for further ease of use.

A Maya plugin-in which allows you to bake particle instances into geometry, animation, and blendshapes that can be modified and updated without messing around with dynamics and expressions.