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About

Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project, folder and type test (unit tests vs integration tests). Detailed report commented directly into your pull request. Codecov is SOC 2 Type II certified, which means a third-party audits and attests to our practices to secure our systems and your data.

About

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

About

PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers

Audience

Any user looking for a solution to measure line and branch coverage to produce test reports

Audience

Unit Testing solution for developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$10 per user per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Codecov
Founded: 2014
Netherlands
codecov.io

Company Information

Coverage.py
United States
coverage.readthedocs.io/en/7.0.0/

Company Information

PHPUnit
phpunit.de/

Alternatives

Alternatives

Alternatives

Early

Early

EarlyAI
JCov

JCov

OpenJDK
dotCover

dotCover

JetBrains
CodeRush

CodeRush

DevExpress
blanket.js

blanket.js

Blanket.js
Devel::Cover

Devel::Cover

metacpan

Categories

Categories

Categories

Integrations

Apache Sentry
Cobertura
Codecov
Codemagic
F#
Gcov
HTML
JUnit
JaCoCo
Java
JavaScript
MATLAB
PHPUnit
Rust
Semaphore
Testwell CTC++
Tidelift
Travis CI
kcov
pytest-cov

Integrations

Apache Sentry
Cobertura
Codecov
Codemagic
F#
Gcov
HTML
JUnit
JaCoCo
Java
JavaScript
MATLAB
PHPUnit
Rust
Semaphore
Testwell CTC++
Tidelift
Travis CI
kcov
pytest-cov

Integrations

Apache Sentry
Cobertura
Codecov
Codemagic
F#
Gcov
HTML
JUnit
JaCoCo
Java
JavaScript
MATLAB
PHPUnit
Rust
Semaphore
Testwell CTC++
Tidelift
Travis CI
kcov
pytest-cov
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Claim Codecov and update features and information
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