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About

Underneath that awkward Java-esque patina, JavaScript has always had a gorgeous heart. CoffeeScript is an attempt to expose the good parts of JavaScript in a simple way. The golden rule of CoffeeScript is: “It’s just JavaScript.” The code compiles one-to-one into the equivalent JS, and there is no interpretation at runtime. You can use any existing JavaScript library seamlessly from CoffeeScript (and vice-versa). The compiled output is readable, pretty printed, and tends to run as fast or faster than the equivalent handwritten JavaScript. Most modern JavaScript features that CoffeeScript supports can run natively in Node 7.6+, meaning that Node can run CoffeeScript’s output without any further processing required. This list may be incomplete, and excludes versions of Node that support newer features behind flags; please refer to node.green for full details. You can run the tests in your browser to see what your browser supports.

About

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

About

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

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 searching for a a little language solution that compiles into JavaScript

Audience

Programmers and developers

Audience

Companies and professionals seeking a solution to manage their streaming and batch data processing operations

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

Free
Free Version
Free Trial

Pricing

No information available.
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

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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

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

CoffeeScript
coffeescript.org

Company Information

JSON
Founded: 2001
www.json.org

Company Information

Spring
spring.io/projects/spring-cloud-dataflow

Alternatives

Alternatives

Alternatives

Spring Boot

Spring Boot

VMware Tanzu
PhpStorm

PhpStorm

JetBrains
XML

XML

World Wide Web Consortium (W3C)

Categories

Categories

Categories

Integrations

Cloud Foundry
Decodo
Head AI
Isomeric
Jovu
KitchenAI
LlamaParse
MedicaSoft NXT
OctoXLabs
PaizaCloud
Portfolio Performance
PulpMiner
QuickScraper
Rive
TANGO
Travelport
Visual Studio Code
Zus
blanket.js
rqlite

Integrations

Cloud Foundry
Decodo
Head AI
Isomeric
Jovu
KitchenAI
LlamaParse
MedicaSoft NXT
OctoXLabs
PaizaCloud
Portfolio Performance
PulpMiner
QuickScraper
Rive
TANGO
Travelport
Visual Studio Code
Zus
blanket.js
rqlite

Integrations

Cloud Foundry
Decodo
Head AI
Isomeric
Jovu
KitchenAI
LlamaParse
MedicaSoft NXT
OctoXLabs
PaizaCloud
Portfolio Performance
PulpMiner
QuickScraper
Rive
TANGO
Travelport
Visual Studio Code
Zus
blanket.js
rqlite
Claim CoffeeScript and update features and information
Claim CoffeeScript and update features and information
Claim JSON and update features and information
Claim JSON and update features and information
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Claim Spring Cloud Data Flow and update features and information