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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

Apple rolled out Swift in 2014 to replace Objective-C. There are still plenty of apps and projects that use Objective-C, and developers are faced with the prospect of either starting again from scratch or attempting to convert them to Swift. Swiftify for Xcode automates the conversion process, handling the task of replacing the syntax while letting you focus on the other aspects of project migration. As the name suggests, the service can be accessed directly from Xcode's Editor menu. You can convert a code selection or a whole file. You can paste Objective-C as Swift. It's also possible to convert files directly from Finder without booting up Xcode. Select the files and start the conversion from the context menu. Finally, the Advanced Project Converter app included in Swiftify for Xcode is designed to help you manage an entire project. It lets you explore the project in a dedicated UI and select files to be converted. Processed files are automatically added to the project.

About

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.

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

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

Audience

Mobile development companies or individuals who need an application to convert their Objective-C code to Swift in one click

Audience

Developers and professionals requiring a free solution offering algorithms for their image processing projects

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

Free
Free Version
Free Trial

Pricing

$49 per month
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 4.7 / 5
ease 4.8 / 5
features 4.4 / 5
design 4.6 / 5
support 4.4 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 5.0 / 5
design 5.0 / 5
support 3.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Swiftify
Founded: 2014
United States
swiftify.com

Company Information

scikit-image
United States
scikit-image.org

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Categories

Categories

Categories

Application Development Features

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Integrations

AppCode
Codecov
Cython
Django
HTML
JSON
Label Studio
MLReef
Mako
PostgresML
Python
SQLite
Tidelift
XML
Xcode
Yamak.ai
Yandex Data Proc
ZenML
pytest
pytest-cov

Integrations

AppCode
Codecov
Cython
Django
HTML
JSON
Label Studio
MLReef
Mako
PostgresML
Python
SQLite
Tidelift
XML
Xcode
Yamak.ai
Yandex Data Proc
ZenML
pytest
pytest-cov

Integrations

AppCode
Codecov
Cython
Django
HTML
JSON
Label Studio
MLReef
Mako
PostgresML
Python
SQLite
Tidelift
XML
Xcode
Yamak.ai
Yandex Data Proc
ZenML
pytest
pytest-cov
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim Swiftify and update features and information
Claim Swiftify and update features and information
Claim scikit-image and update features and information
Claim scikit-image and update features and information