Practical Overview Of The Top 5 Python Testing Frameworks
Releasing software without testing is like flying a plane without a maintenance check.
Testing is a safety net that helps make sure your code works well, uncovers bugs and keeps the code in good shape over its lifetime.
When developing with Python, you can use the built-in testing library called PyUnit (Unittest)
.
However, there are other popular and highly equipped Python testing frameworks such as Pytest
, Nosetest
, Doctest
, and Robot
- which arguably may even be better than the built-in one.
Now given so many options, how do you choose which Python testing framework to use in your application? How do you balance the trade-offs between ease of use, features and performance?