RT-LAB

RT-LAB

OPAL-RT TECHNOLOGIES
blanket.js

blanket.js

Blanket.js
+

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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

RT-LAB is OPAL-RT’s real-time simulation software combining performance and enhanced user experience. Fully integrated with MATLAB/Simulink®, RT-LAB offers the most complex model-based design for interaction with real-world environments. It provides the flexibility and scalability to achieve the most complex real-time simulation applications in the automotive, aerospace, power electronics, and power systems industries. Since its first application nearly 20 years ago on the Canadian Space Agency’s Canada Arm, RT-LAB has revolutionized the world of systems engineering, whether in space, on the ground or at sea. RT-LAB enables engineers and scientists to accelerate the development of new prototypes and to meet the most rigorous testing required by new and innovative technologies. RT-LAB handles everything, including code generation, with an easy-to-use interface. With just a few clicks of the mouse, a Simulink® model becomes an interactive real-time simulation application.

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

Developers interested in a beautiful but advanced programming language

Audience

Automotive companies in need of a real-time simulation solution

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/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

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

Python
Founded: 1991
www.python.org

Company Information

OPAL-RT TECHNOLOGIES
Founded: 1997
Canada
www.opal-rt.com/software-rt-lab/

Company Information

Blanket.js
github.com/alex-seville/blanket

Alternatives

Alternatives

Simulink

Simulink

MathWorks

Alternatives

MATLAB

MATLAB

The MathWorks
RKTracer

RKTracer

RKVALIDATE
System Composer

System Composer

MathWorks
Testwell CTC++

Testwell CTC++

Testwell
UberCloud

UberCloud

Simr (formerly UberCloud)

Categories

Categories

Categories

Integrations

Azure Cloud Shell
Boost Note
BrainAPI
Casbin
Codey
Haber Chat
Interlify
JAX
Komodo Edit
Meya
Outspeed
PyMuPDF
Qwen-7B
Robot Framework
SaaS Hammer
Sonatype Nexus Repository
Steel.dev
The Welkin Suite
Windsurf Editor
waiting

Integrations

Azure Cloud Shell
Boost Note
BrainAPI
Casbin
Codey
Haber Chat
Interlify
JAX
Komodo Edit
Meya
Outspeed
PyMuPDF
Qwen-7B
Robot Framework
SaaS Hammer
Sonatype Nexus Repository
Steel.dev
The Welkin Suite
Windsurf Editor
waiting

Integrations

Azure Cloud Shell
Boost Note
BrainAPI
Casbin
Codey
Haber Chat
Interlify
JAX
Komodo Edit
Meya
Outspeed
PyMuPDF
Qwen-7B
Robot Framework
SaaS Hammer
Sonatype Nexus Repository
Steel.dev
The Welkin Suite
Windsurf Editor
waiting
Claim Python and update features and information
Claim Python and update features and information
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