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

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.

About

Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures.

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

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

Developers interested in a beautiful but advanced programming language

Audience

SDETs, QAs, and SMEs in cross-functional development teams

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

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 4.4 / 5
ease 4.4 / 5
features 4.4 / 5
design 4.0 / 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

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Python
Founded: 1991
www.python.org

Company Information

Testsigma
Founded: 2019
United States
testsigma.com

Company Information

scikit-image
United States
scikit-image.org

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Categories

Categories

Categories

Categories

API Testing Features

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Automated Testing Features

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Functional Testing Features

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Mobile App Testing Features

Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing

Software Testing Features

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Test Management Features

Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking

Integrations

Akto
Amazon SageMaker Model Building
Claude Opus 4
CodeAlly
Codeaid
FairCom RTG
Glitch
Grok 4
Inspector
Mentat
NetsPresso
Parsagon
Steel.dev
Stickler CI
Sudo
TinyPNG
UEStudio
american fuzzy lop
kcov

Integrations

Akto
Amazon SageMaker Model Building
Claude Opus 4
CodeAlly
Codeaid
FairCom RTG
Glitch
Grok 4
Inspector
Mentat
NetsPresso
Parsagon
Steel.dev
Stickler CI
Sudo
TinyPNG
UEStudio
american fuzzy lop
kcov

Integrations

Akto
Amazon SageMaker Model Building
Claude Opus 4
CodeAlly
Codeaid
FairCom RTG
Glitch
Grok 4
Inspector
Mentat
NetsPresso
Parsagon
Steel.dev
Stickler CI
Sudo
TinyPNG
UEStudio
american fuzzy lop
kcov

Integrations

Akto
Amazon SageMaker Model Building
Claude Opus 4
CodeAlly
Codeaid
FairCom RTG
Glitch
Grok 4
Inspector
Mentat
NetsPresso
Parsagon
Steel.dev
Stickler CI
Sudo
TinyPNG
UEStudio
american fuzzy lop
kcov
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