Scroll through the Python Package Index and you'll find libraries for practically every data visualization need-from GazeParser for eye movement research to pastalog for realtime visualizations of neural network training. And while many of these libraries are intensely focused on accomplishing a specific task, some can be used no matter what your field.

This list is an overview of 12 interdisciplinary Python data visualization libraries, from the well-known to the obscure. Mode Python Notebooks support five libraries on this list - matplotlib, Seaborn, Plotly, pygal, and Folium - and more than 60 others that you can explore on our Notebook support page.

We hope these lists inspire you, and if you want to add a library that's not listed, use our instructions to install additional libraries or send a note to success [at] modeanalytics [dot com].