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SimpleTest vs Python Testify comparison of testing frameworks
What are the differences between SimpleTest and Python Testify?

SimpleTest

https://github.com/simpletest/simpletest

Python Testify

https://github.com/Yelp/Testify
Programming language

PHP

Python

Category

Unit Testing, Web Testing

Unit Testing

General info

SimpleTest is a unit test and web test framework for PHP

It has JWebUnit style functionality and support for SSL, forms, frames, proxies and basic authentication

A Python unit testing framework modelled after unittest

Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features
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

With SimpleTest common but fiddly PHP tasks, such as logging into a site, can be tested easily

Yes

Front-end functionality and behaviour can be tested by Testify.
Server-side
Allows testing the bahovior of a server-side code

Yes

Server-side behaviour can be tested by writing simple unit tests to test functionality and behaviour of single components.

Yes

Testify can test various server and database behaviours and functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

It can import fixtures using a mixin like 'given()' method

Yes

Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators
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

It allows grouping of fixtures

Yes

Group fixtures are supported
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

Simpletest has support for generators

Yes

One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.
Licence
Licence type governing the use and redistribution of the software

GNU Lesser General Public License v2.1

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

It allows for one to build Mock objects.To create a mock version of a class we need to include the mock object library and run the generator. This will create a clone class which we use to create new instances(objects) in our test cases.

Yes

It includes the turtle mock object library
Grouping
Allows organizing tests in groups

Yes

There are several ways of grouping tests; one is to simply place multiple test cases into a single file, another is to mark any base test cases that should not be run as abstract, Simpletest gives you a couple of options

Yes

Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.
Other
Other useful information about the testing framework