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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

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 Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

scikit-image
United States
scikit-image.org

Alternatives

Alternatives

blanket.js

blanket.js

Blanket.js
JCov

JCov

OpenJDK
Devel::Cover

Devel::Cover

metacpan

Categories

Code Coverage Supported

Categories

Integrations

Python Supported
Akira AI Not Supported
C Supported
Codecov Supported
Cython Not Supported
Django Supported
HTML Supported
JSON Supported
Label Studio Not Supported
MLReef Not Supported
Mako Supported
PostgresML Not Supported
SQLite Supported
Tidelift Supported
XML Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
ZenML Not Supported
pytest Supported
pytest-cov Supported

Integrations

Python Supported
Akira AI Supported
C Not Supported
Codecov Not Supported
Cython Supported
Django Not Supported
HTML Not Supported
JSON Not Supported
Label Studio Supported
MLReef Supported
Mako Not Supported
PostgresML Supported
SQLite Not Supported
Tidelift Not Supported
XML Not Supported
Yamak.ai Supported
Yandex Data Proc Supported
ZenML Supported
pytest Not Supported
pytest-cov Not Supported
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim scikit-image and update features and information
Claim scikit-image and update features and information