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Description

The jscoverage tool offers support for both Node.js and JavaScript, allowing for an expanded coverage range. To utilize it, you can load the jscoverage module using Mocha, which enables it to function effectively. When you select different reporters like list, spec, or tap in Mocha, jscoverage will append the coverage information accordingly. You can designate the reporter type using covout, which allows options such as HTML and detailed reporting. The detailed reporter specifically outputs any uncovered code directly to the console for immediate visibility. As Mocha executes test cases with the jscoverage module integrated, it ensures that any files listed in the covignore file are excluded from coverage tracking. Additionally, jscoverage generates an HTML report, providing a comprehensive view of the coverage results. By default, it looks for the covignore file in the root of your project, and it will also copy any excluded files from the source directory to the specified destination directory, ensuring a clean and organized setup for testing. This functionality enhances the testing process by clearly indicating which parts of your code are adequately covered and which areas require further attention.

Description

This plugin generates detailed coverage reports that offer more functionality compared to merely using coverage run. It includes support for subprocess execution, allowing you to fork or run tasks in a subprocess while still obtaining coverage seamlessly. Additionally, it integrates with xdist, enabling the use of all pytest-xdist features without sacrificing coverage reporting. The plugin maintains consistent behavior with pytest, ensuring that all functionalities provided by the coverage package are accessible either via pytest-cov's command line options or through coverage's configuration file. In rare cases, a stray .pth file might remain in the site packages after execution. To guarantee that each test run starts with clean data, the data file is cleared at the start of testing. If you wish to merge coverage results from multiple test runs, you can utilize the --cov-append option to add this data to that of previous runs. Furthermore, the data file is retained at the conclusion of testing, allowing users to leverage standard coverage tools for further analysis of the results. This additional functionality enhances the overall user experience by providing better management of coverage data throughout the testing process.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

HTML Yes 
Codecov No 
Coverage.py No 
JavaScript Yes 
Mocha Yes 
Node.js Yes 
Python No 
XML No 
pytest No 

Integrations

HTML Yes 
Codecov Yes 
Coverage.py Yes 
JavaScript No 
Mocha No 
Node.js No 
Python Yes 
XML Yes 
pytest Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

jscoverage

Website

www.npmjs.com/package/jscoverage

Vendor Details

Company Name

Python

Country

United States

Website

pypi.org/project/pytest-cov/

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Product Features

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