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

	Goconvey https://github.com/smartystreets/goconvey	stestr https://pypi.org/project/stestr/
Programming language	Go	Python
Category	Regression Testing, Unit Testing	Unit Testing
General info	BDD style testing framework for Go Goconvey is a two pronged testing tool consisting of a test runner that watches your code for changes, runs 'go test' and renders your results in a web browser and the second a library that allows you to write BDD-style tests with standard 'go test' functions	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 Yes, Goconvey can perform front-end tests	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	Yes Yes one can perform end-to-end HTTP tests with goconvey to see how an application works against remote servers	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	Yes Yes, Goconvey uses scopes to define fixtures and a reset function for teardown	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.	Yes One can define group fixtures using scopes	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.	Yes The web UI has a button to open the built in generator	Yes By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	Goconvey License	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)	Yes Using the mock package or mockery library to autogenerate mock code	N/A
Grouping Allows organizing tests in groups	Yes Similar to a table driven approach an entire suite can be contained in a single function	N/A
Other Other useful information about the testing framework