JCov

JCov

OpenJDK

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 JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.

About

Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.

About

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

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 seeking a solution to gather quality metrics associated with the production of test suites

Audience

Enterprises interested in a tool to manage their business processes and automate routine tasks

Audience

Component Library 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

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

$275 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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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

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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

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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

OpenJDK
United States
wiki.openjdk.org/display/CodeTools/jcov

Company Information

Python RPA
Founded: 2019
Kazakhstan
pythonrpa.org

Company Information

imageio
imageio.readthedocs.io/en/stable/

Alternatives

Alternatives

Alternatives

Alternatives

JDeli

JDeli

IDR Solutions
JCov

JCov

OpenJDK
RKTracer

RKTracer

RKVALIDATE
yarl

yarl

Python Software Foundation
blanket.js

blanket.js

Blanket.js
Devel::Cover

Devel::Cover

metacpan
blanket.js

blanket.js

Blanket.js

Categories

Categories

Categories

Categories

Integrations

Amazon Corretto
Apache NetBeans
Azure Marketplace
Codecov
Django
Docker
GPT-4
HTML
Helidon
Mako
Microsoft Azure
OpenAI
PyCharm
Python
Red Hat Runtimes
SQLite
Tidelift
Visual Studio
pytest
pytest-cov

Integrations

Amazon Corretto
Apache NetBeans
Azure Marketplace
Codecov
Django
Docker
GPT-4
HTML
Helidon
Mako
Microsoft Azure
OpenAI
PyCharm
Python
Red Hat Runtimes
SQLite
Tidelift
Visual Studio
pytest
pytest-cov

Integrations

Amazon Corretto
Apache NetBeans
Azure Marketplace
Codecov
Django
Docker
GPT-4
HTML
Helidon
Mako
Microsoft Azure
OpenAI
PyCharm
Python
Red Hat Runtimes
SQLite
Tidelift
Visual Studio
pytest
pytest-cov

Integrations

Amazon Corretto
Apache NetBeans
Azure Marketplace
Codecov
Django
Docker
GPT-4
HTML
Helidon
Mako
Microsoft Azure
OpenAI
PyCharm
Python
Red Hat Runtimes
SQLite
Tidelift
Visual Studio
pytest
pytest-cov
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