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What is the best alternative to pytest?
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nose
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5
Experiences
Pros
3
Cons
2
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Con
May be losing support or cease altogether
According to documentation at https://nose.readthedocs.io/en/latest/, nose may become unsupported. There is a successor project called Nose2 (https://github.com/nose-devs/nose2), but it does not support all the features of its predecessor and recommends considering pytest for those new to testing.
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Pro
Supercedes unittest
Nose wraps around unittest, adding some more feature and functionality to it, such as SkipTest or auto-discovery.
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Con
Too much reliance on plugins
Having lots of plugins while beneficial, also can be a hindrance. Relying too much on them makes developers feel as if everything's being done by plugins which a lot of times are undocumented or have very little documentation.
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Pro
Minimal boilerplate
Nose tries to keep boilerplate code to a minimum. As such, it's very easy to read and write initial tests.
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Pro
Numerous plugins available
There's a large number of plugins available for nose which make unit testing easier. Things like coverage reporting, test selection and xUnit-compatible test output can be added through plugins.
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3
ward
All
4
Experiences
Pros
3
Cons
1
Top
Pro
Async fixtures
Fixtures can await asynchronous code.
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Con
Not many plugins available (in 2022)
While ward has a plugin system, there are not many plugins available as of 2022. Alternatives, like pytest, have many more plugins to choose from.
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Pro
Explicit fixtures
Test fixtures are referenced explicitly, which helps both humans and IDE's understand which fixture is used.
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Pro
Encourages better test names
Tests are named by markdown strings, not the function name of the test.
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unittest
All
10
Experiences
Pros
6
Cons
4
Top
Pro
Part of the Python standard library
PyUnit has been a part of the Python standard library since version 2.1 as the unittest module. This makes it widely available to developers without the need to install additional modules since it's coming out of the box with Python.
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Con
camelCase naming
Idiomatic python code uses snake_case, but this was ported so closely from JUnit that it has retained java-style camelCase method names. That can be jarring.
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Pro
Flexible test case execution
The way tests are run is through: if name == 'main': unittest.main() Then unittest.main() builds a TestSuite object that contains all the tests that have method names starting with "test", then a TextTestRunnerwhich then executes each method and prints the results. But individual test cases can be executed simply by specifying their names on the terminal: python unittest_program.py testProgram.testGetFeedPostingHost The default output is usually pretty concise, but it can be more verbose simply by adding a -v flag in the end when calling the test from the command line. So unittest can be considered pretty flexible when it comes to test case execution.
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Con
No color output
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Pro
Promotes grouping related tests into common test suites
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Con
The API can make the test code's intent hard to understand
Although unittest does not have a huge API that needs to be remembered, it has too much support for abstraction, this makes the test code intent's unclear.
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Pro
Very fast test collection
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Con
Verbose
Too much boilerplate code is needed.
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Pro
Easy to use for people who are comfortable with testing in other languages
Since pyUnit is a derivative of xUnit and it's quite similar to other xUnit frameworks, it's quite easy for people with not much Python background to relate to.
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Pro
Very precise test duration reports
Unittest reports tests duration in milliseconds
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