The rules are simple. We are looking for libraries that satisfy the following conditions: They were launched or popularized in 2020. They are well maintained and have been since their launch data. They are outright cool, and you should check them out. Disclaimer: this year, our picks are heavily influenced by machine learning / data science libraries, although some can indeed be very useful for non-data science people. Moreover, although we have 10 main picks — and a bonus — we decided to add a new “Honorable mentions” section that does justice to other libraries that we found and couldn’t leave out. The spirit of this post is to give some visibility to these libraries, as well as generate discussion (in the comments or elsewhere) around some other great picks we may have missed — which we are sure there are.