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Average Ratings 0 Ratings
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
Deep Cover strives to be the premier tool for Ruby code coverage, delivering enhanced accuracy for both line and branch coverage metrics. It serves as a seamless alternative to the standard Coverage library, providing a clearer picture of code execution. A line is deemed covered only when it has been fully executed, and the optional branch coverage feature identifies any branches that remain untraveled. The MRI implementation considers all methods available, including those created through constructs like define_method and class_eval. Unlike Istanbul's method, DeepCover encompasses all defined methods and blocks when reporting coverage. Although loops are not classified as branches within DeepCover, accommodating them can be easily arranged if necessary. Even once DeepCover is activated and set up, it requires only a minimal amount of code loading, with coverage tracking starting later in the process. To facilitate an easy migration for projects that have previously relied on the built-in Coverage library, DeepCover can integrate itself into existing setups, ensuring a smooth transition for developers seeking improved coverage analysis. This capability makes DeepCover not only versatile but also user-friendly for teams looking to enhance their testing frameworks.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Codecov
Yes
C
Yes
Code Climate
No
Coveralls
No
Django
Yes
HTML
Yes
Istanbul
No
JSON
Yes
Mako
Yes
Python
Yes
Integrations
Codecov
Yes
C
No
Code Climate
Yes
Coveralls
Yes
Django
No
HTML
No
Istanbul
Yes
JSON
No
Mako
No
Python
No
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
Coverage.py
Country
United States
Website
coverage.readthedocs.io/en/7.0.0/
Vendor Details
Company Name
DeepCover
Country
United States
Website
github.com/deep-cover/deep-cover