Python

Python

5.0 out of 5 stars
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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

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

TypeScript adds additional syntax to JavaScript to support a tighter integration with your editor. Catch errors early in your editor. TypeScript code converts to JavaScript, which runs anywhere JavaScript runs: In a browser, on Node.js or Deno and in your apps. TypeScript understands JavaScript and uses type inference to give you great tooling without additional code. TypeScript was used by 78% of the 2020 State of JS respondents, with 93% saying they would use it again. The most common kinds of errors that programmers write can be described as type errors: a certain kind of value was used where a different kind of value was expected. This could be due to simple typos, a failure to understand the API surface of a library, incorrect assumptions about runtime behavior, or other errors.

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 Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Platforms Supported

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

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

DevOps teams in need of a typed Programming Language that builds on JavaScript

Support

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

Support

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

Support

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

API

Offers API Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Pros & Cons from Real Users

Pros

  • Python is simple, easy to learn, but powerful and extensible. Python in my opinion is the best programming language to learn today.

Cons

  • I don't have any issues with Python at all. It's my favorite programming language.

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

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

Python
Founded: 1991
www.python.org

Company Information

TypeScript
www.typescriptlang.org

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Devel::Cover

Devel::Cover

metacpan

Categories

Code Coverage Supported

Categories

Categories

Integrations

Codecov Supported
AWS Cloud9 Not Supported
CodeSee Not Supported
Devv Not Supported
Enter Code Not Supported
Factify Not Supported
Foxglove Not Supported
Ghostscript Not Supported
GrabzIt Not Supported
Mistral 7B Not Supported
Model Context Protocol (MCP) Not Supported
Muscula Not Supported
Muse Spark 1.3 Not Supported
NVIDIA PhysicsNeMo Not Supported
Nyckel Not Supported
Taipy Not Supported
Zenserp Not Supported
apiip Not Supported
pdfRest API Toolkit Not Supported
pytest-cov Supported

Integrations

Codecov Supported
AWS Cloud9 Supported
CodeSee Supported
Devv Supported
Enter Code Supported
Factify Supported
Foxglove Supported
Ghostscript Supported
GrabzIt Supported
Mistral 7B Not Supported
Model Context Protocol (MCP) Supported
Muscula Supported
Muse Spark 1.3 Supported
NVIDIA PhysicsNeMo Supported
Nyckel Supported
Taipy Supported
Zenserp Supported
apiip Supported
pdfRest API Toolkit Supported
pytest-cov Supported

Integrations

Codecov Supported
AWS Cloud9 Supported
CodeSee Supported
Devv Not Supported
Enter Code Supported
Factify Not Supported
Foxglove Not Supported
Ghostscript Not Supported
GrabzIt Not Supported
Mistral 7B Supported
Model Context Protocol (MCP) Not Supported
Muscula Not Supported
Muse Spark 1.3 Supported
NVIDIA PhysicsNeMo Not Supported
Nyckel Not Supported
Taipy Not Supported
Zenserp Not Supported
apiip Not Supported
pdfRest API Toolkit Not Supported
pytest-cov Not Supported
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