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Description

Coverage.py serves as a powerful utility for assessing the code coverage of Python applications. It tracks the execution of your program, recording which segments of the code have been activated, and subsequently reviews the source to pinpoint areas that could have been executed yet remained inactive. This measurement of coverage is primarily utilized to evaluate the efficacy of testing efforts. It provides insights into which portions of your code are being tested and which are left untested. To collect data, you can use the command `coverage run` to execute your test suite. Regardless of how you typically run your tests, you can incorporate coverage by executing your test runner with the coverage tool. If the command for your test runner begins with "python," simply substitute the initial "python" with "coverage run." To restrict coverage evaluation to only the code within the current directory and to identify files that have not been executed at all, include the source parameter in your coverage command. By default, Coverage.py measures line coverage, but it is also capable of assessing branch coverage. Additionally, it provides information on which specific tests executed particular lines of code, enhancing your understanding of test effectiveness. This comprehensive approach to coverage analysis can significantly improve the quality and reliability of your codebase.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Codecov
Python
C
Captain
Django
HTML
JSON
Mako
SQLite
Tidelift
XML
pytest
pytest-cov

Integrations

Codecov
Python
C
Captain
Django
HTML
JSON
Mako
SQLite
Tidelift
XML
pytest
pytest-cov

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Coverage.py

Country

United States

Website

coverage.readthedocs.io/en/7.0.0/

Vendor Details

Company Name

Python

Website

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

Product Features

Product Features

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