For the past year, we’ve compared nearly 15,000 open source Python projects to pick Top 30 (0.2% chance).

This is an extremely competitive list and it carefully picks the best open source Python libraries, tools and programs published between January and December 2017. Mybridge AI evaluates the quality by considering popularity, engagement and recency. To give you an idea about the quality, the average number of Github stars is 3,707.

34 Amazing Python Open Source Libraries for the Past Year (v.2019): Here

36 Amazing Python Open Source Projects (v.2019): Here

Machine Learning Projects of the Year (avg. 3,558 ⭐️): Here (0 duplicate)

Open source projects can be useful for programmers. You can learn by reading the source code and build something on top of the existing projects. Give a plenty of time to play around with Python projects you may have missed for the past year.