Numpy

Introduction

Numpy is a Python library used for working with arrays. Numpy also provides state-of-the-art functions for working in linear algebra, matrices, and complex mathematical domains. Since it has been in use since 2005, it has many functionalities and areas of usage. It is also an open-source library that enables users to contribute.

Pros

• Its GitHub repository is well-designed so that one can access all the source code and find the corresponding documentation files without being lost in the repo.
• Almost all issues have good descriptions and appropriate labels which makes issues understandable for everyone without difficulty.
• It has a well-used wiki page that has well-documented pages with clear headings.

Cons

• Some issues have been open for almost 10 years and have not been updated recently.
• Some labels don't have descriptions to clearly explain their intended use.