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Description

Pytest is an invaluable tool for enhancing your programming skills, as it simplifies the creation of both basic tests and complicated functional tests for various applications and libraries. The framework’s ability to provide detailed assertion introspection means you can rely solely on standard assert statements for all your testing needs. It offers thorough information regarding failed assertions, automatically identifies test modules and functions, and features modular fixtures that help manage both small and parameterized long-lived test resources effectively. Additionally, pytest can seamlessly execute unittest (including trial) and nose test suites, and it is compatible with Python versions 3.6 and above, as well as PyPy 3. Its rich plugin architecture boasts over 315 external plugins and is backed by a vibrant community of users. Furthermore, the maintainers of pytest, along with thousands of other packages, have partnered with Tidelift to provide commercial support and maintenance for the open-source dependencies integral to your projects. By leveraging pytest, you can save valuable time, minimize risks, and enhance the overall health of your codebase, all while ensuring that the developers of the specific dependencies you rely on are compensated for their work. This commitment to community and support truly sets pytest apart as a leader in the testing framework landscape.

Description

The unittest framework for unit testing was influenced by JUnit and shares characteristics with other prominent unit testing frameworks across various programming languages. It offers features like test automation, the ability to share setup and teardown procedures, the grouping of tests into collections, and ensures that tests operate independently from the reporting framework. A test fixture is essential for preparing the environment required for one or more tests, along with any necessary cleanup processes, which might include setting up temporary databases, creating directories, or initiating server processes. A test suite serves as a compilation of test cases and other test suites, designed to group tests that should be run together. Meanwhile, a test runner acts as a mechanism to manage the execution of tests and communicate the results to the user. This runner can function through a graphical interface, a command-line interface, or may return a specific value to reflect the outcomes of the tests executed. Overall, the unittest framework simplifies the testing process while promoting organized and efficient test execution.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Captain Yes 
Codecov Yes 
Python Yes 
Allure Report Yes 
Coverage.py Yes 
Katalon Recorder Yes 
Katalon True Platform Yes 
Launchable Yes 
Opik Yes 
Pynt Yes 
Qualflare Yes 
Roost.ai Yes 
TestQuality Yes 
Testmo Yes 
VIKTOR Yes 
Zebrunner Yes 
pytest-cov Yes 

Integrations

Captain Yes 
Codecov Yes 
Python Yes 
Allure Report No 
Coverage.py No 
Katalon Recorder No 
Katalon True Platform No 
Launchable No 
Opik No 
Pynt No 
Qualflare No 
Roost.ai No 
TestQuality No 
Testmo No 
VIKTOR No 
Zebrunner No 
pytest-cov No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

pytest

Founded

2004

Website

docs.pytest.org/en/6.2.x/

Vendor Details

Company Name

Python

Website

docs.python.org/3/library/unittest.html

Product Features

Functional Testing

Automated Testing No 
Interface Testing No 
Regression Testing No 
Reporting / Analytics No 
Sanity Testing No 
Smoke Testing No 
System Testing No 
Unit Testing No 

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

Product Features

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