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@@ -905,6 +905,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
 - [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
 - [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
 - [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data.
+- [manim](https://github.com/ManimCommunity/manim) - An animation engine for explanatory math videos.
 - [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
 - [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
 - [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.