Enhance Your Project Quality with These Top Python Libraries

1

pytype

Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can catch type errors in your Python code before you even run it.

#Code Coverage #Code Analysis #Python IDE 1 social mentions

2

Pyright

Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified.

#Code Coverage #Code Analysis #Code Quality 12 social mentions

3

unittest

Unittest is a built-in module of Python. It’s inspired by the xUnit framework architecture. This is a great tool to create and organise test cases in a systematic way. You can use unittest.mock with pytest when you need to create mock objects in your tests. The unittest.mock module is a powerful feature in Python’s standard library for creating mock objects in your tests. It allows you to replace parts of your system under test and make assertions about how they have been used. So, even though pytest is a different testing framework, it can work seamlessly with unittest.mock for creating and using mock objects.

#Automated Testing #Testing #Online Services 60 social mentions