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Description
We assist you in confidently delivering your code by identifying which sections are left untested by your suite. Our service is free for open-source projects, while private repositories can benefit from our pro accounts. You can sign up instantly through platforms like GitHub, Bitbucket, and GitLab. Ensuring a thoroughly tested codebase is crucial for success, yet identifying gaps in your tests can be a challenging task. Since you're likely already using a continuous integration server for testing, why not allow it to handle the heavy lifting? Coveralls integrates seamlessly with your CI server, analyzing your coverage data to uncover hidden issues before they escalate into bigger problems. If you're only checking your code coverage locally, you may miss out on valuable insights and trends throughout your entire development process. Coveralls empowers you to explore every aspect of your coverage while providing unlimited historical data. By using Coveralls, you can eliminate the hassle of monitoring your code coverage, gaining a clear understanding of your untested sections. This allows you to develop with assurance that your code is properly covered and robust. In summary, Coveralls not only streamlines the tracking process but also enhances your overall development experience.
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
API Access
Has API
Integrations
Python
.NET
Bitbucket
C
CircleCI
Codecov
Coverage.py
D
Elixir
GitHub
Integrations
Python
.NET
Bitbucket
C
CircleCI
Codecov
Coverage.py
D
Elixir
GitHub
Pricing Details
$10 per month
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
Coveralls
Country
United States
Website
coveralls.io
Vendor Details
Company Name
Python
Country
United States
Website
pypi.org/project/pytest-cov/