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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

For professionals who want to save time. Sign yourself or get documents signed Easy, secure, legally binding and free. Learn how to e-sign in no time with our tutorial videos. Discover the digital signature solution that is trusted by 300,000 users worldwide. Upload, sign, and send your document in 3 easy steps. This is how to sign a contract online. With the SignRequest for Google integration, you easily sign Google Docs and digitally sign from Gmail. Safely store all your documents in one place. Track what still needs to be done with notifications and send reminders. Determine the order of signing, the authorization method, and add an extra layer of security. Go for a professional look by adding your own branding to the whole e-signing flow. Your signers will easily recognize you. This is how to send the same contract to a large number of signers and have each sign their own copy.

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

Companies of all sizes and enterprises in need of a solution to improve their operations

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

$7.00 per user 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

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 4.7 / 5
ease 5.0 / 5
features 4.7 / 5
design 4.3 / 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

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

SignRequest
Founded: 2014
Netherlands
signrequest.com/en/comparison/our-e-signature-tool-compared-to-our-competitors

Company Information

scikit-image
United States
scikit-image.org

Alternatives

Alternatives

CryptoESIGN

CryptoESIGN

Sathguru Software Products Pvt. Ltd

Alternatives

JCov

JCov

OpenJDK
Foxit eSign

Foxit eSign

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VideoSign

VideoSign

Videosign
blanket.js

blanket.js

Blanket.js
Digital Signer

Digital Signer

PULKITSOFT LLP
Devel::Cover

Devel::Cover

metacpan

Categories

Categories

Categories

Digital Signature Features

Audit Trail
Authentication
Auto Reminders
Customizable Templates
Document Analytics
Mobile Signature
Multi-Party Signing
Progress Tracking
Task Progress Tracking

Integrations

AFAS Software
Book It Now
CloudConvert
Django
DoorLoop
Easyflow
Exercise.com
Gmail
Google Drive
MLReef
PostgresML
Quickwork
Recruitee
Salesforce
Slack
XML
Zapier
intelliHR
pytest-cov
servis.ai

Integrations

AFAS Software
Book It Now
CloudConvert
Django
DoorLoop
Easyflow
Exercise.com
Gmail
Google Drive
MLReef
PostgresML
Quickwork
Recruitee
Salesforce
Slack
XML
Zapier
intelliHR
pytest-cov
servis.ai

Integrations

AFAS Software
Book It Now
CloudConvert
Django
DoorLoop
Easyflow
Exercise.com
Gmail
Google Drive
MLReef
PostgresML
Quickwork
Recruitee
Salesforce
Slack
XML
Zapier
intelliHR
pytest-cov
servis.ai
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim SignRequest and update features and information
Claim SignRequest and update features and information
Claim scikit-image and update features and information
Claim scikit-image and update features and information