Related Products
|
||||||
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
SimScale is a cloud-based web application that plays a key part in simulation software for many kinds of industries. The platform allows the use of Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and Thermal Simulation. It also offers 3D simulation, continuous modeling, and motion & dynamic modeling.
|
About
A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.
|
||||
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
Engineering and design professionals .
|
Audience
Developers seeking a solution to manage their code tracking processes and statistics
|
||||
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
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationCoverage.py
United States
coverage.readthedocs.io/en/7.0.0/
|
Company InformationSimScale
Founded: 2012
Germany
simscale.com/_en/
|
Company InformationBlanket.js
github.com/alex-seville/blanket
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
|
|
||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
Categories |
||||
Simulation Features
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
|
||||||
Integrations
Axis LMS
C
Codecov
Django
HTML
JSON
JavaScript
Mako
Mocha
Python
|
Integrations
Axis LMS
C
Codecov
Django
HTML
JSON
JavaScript
Mako
Mocha
Python
|
Integrations
Axis LMS
C
Codecov
Django
HTML
JSON
JavaScript
Mako
Mocha
Python
|
||||
|
|
|
|