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.
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About
NCover Desktop is a Windows application that helps you collect code coverage statistics for .NET applications and services. After coverage is collected, Desktop displays charts and coverage metrics in a browser-based GUI that allows you to drill all the way down to your individual lines of source code. Desktop also allows you the option to install a Visual Studio extension called Bolt. Bolt offers built-in code coverage that displays unit test results, timings, branch visualization and source code highlighting right in the Visual Studio IDE. NCover Desktop is a major leap forward in the ease and flexibility of code coverage tools. Code coverage, gathered while testing your .NET code, shows the NCover user what code was exercised during the test and gives a specific measurement of unit test coverage. By tracking these statistics over time, you gain a concrete measurement of code quality during the development cycle.
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About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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About
Fast, reliable, and secure software starts here. A unified, developer-friendly interface for all of your artifacts written in any language, delivered to any infrastructure. Ship securely and quickly knowing your packages are handled by packagecloud. Consistent package repositories, at enterprise scale and startup speed. A single API and CLI for every environment and package type. Works seamlessly and harmoniously with the systems you already use. Manage all of your packages and deploy to any environment, from one beautiful interface, on-premise or in the cloud. Packagecloud supports the most popular package types, from Java to Python to Ruby and Node, and more. Built for teams with collaboration and access control features. Packagecloud just works. Upload any supported package type via a single, consistent API and deploy with ease. We run thousands of tests to ensure correct and consistent behavior even in the face of bugs in the packaging systems themselves.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Any user looking for a solution to measure line and branch coverage to produce test reports
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Audience
Development teams searching for a powerful .NET Code Coverage solution
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Developers requiring a solution to manage all of their packages and deploy to any environment
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$150 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCoverage.py
United States
coverage.readthedocs.io/en/7.0.0/
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Company InformationNCover
www.ncover.com
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Company InformationPython
Founded: 1991
www.python.org
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Company Informationpackagecloud
packagecloud.io
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Categories |
Categories |
Categories |
Categories |
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Integrations
AtomicJar
Augoor
Codestral
DeepSource
E2B
Encord
GPT-4o mini
IDLE
IDWise
Kedro
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Integrations
AtomicJar
Augoor
Codestral
DeepSource
E2B
Encord
GPT-4o mini
IDLE
IDWise
Kedro
|
Integrations
AtomicJar
Augoor
Codestral
DeepSource
E2B
Encord
GPT-4o mini
IDLE
IDWise
Kedro
|
Integrations
AtomicJar
Augoor
Codestral
DeepSource
E2B
Encord
GPT-4o mini
IDLE
IDWise
Kedro
|
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