Google Puppeteer vs stestr comparison of testing frameworks
What are the differences between Google Puppeteer and stestr?

	Google Puppeteer https://developers.google.com/web/tools/puppeteer	stestr https://pypi.org/project/stestr/
Programming language	JavaScript	Python
Category	Browser Automation	Unit Testing
General info	Puppeteer is a Node library which provides browser automation for chrome and chromium Puppeteer runs headless by default, but can be configured to run full (non-headless) Chrome or Chromium; It provides a high-level API to control Chromium or Chrome over the DevTools Protocol	stestr is a Python test runner designed to execute unittest test suites stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Most things you can do manually in the browser can be done using puppeteer, therefore you can create a testing environment for your tests to run directly. You can test front-end functionality such as UI testing with puppeteer	Yes Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side Allows testing the bahovior of a server-side code	No	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes By use of a third party library like Fixture
Group fixtures Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.	N/A	By use of a third party library like Fixture
Generators Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.	No	Yes By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	Apache License 2.0
Mocks Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)	No	N/A
Grouping Allows organizing tests in groups	No	N/A
Other Other useful information about the testing framework