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.
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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.
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About
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
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About
Distcc is a distributed compilation system that accelerates C, C++, Objective-C, and Fortran builds by offloading compile jobs across multiple networked machines. It integrates seamlessly with GCC and Clang toolchains, transparently intercepting compiler calls and redistributing them to remote daemons while preserving optimization flags, include paths, and dependency tracking. Its client-server architecture features a lightweight listener that manages job queues, prioritizes local compilation when needed, and automatically detects available hosts via simple configuration or DNS. Distcc supports cross-compilation environments, SSH tunneling for secure clusters, blacklisting of unreliable servers, and integration with build systems like Make, CMake and Ninja. Monitoring tools provide real-time statistics on job distribution and throughput, and compatibility with compilation databases (compdb) enables granular control over distributed workloads.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers searching for a a little language solution that compiles into JavaScript
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Audience
Programmers and developers
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Audience
Component Library solution for DevOps teams
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Audience
DevOps professionals wanting a solution to speed up large codebase compilations by leveraging idle compute resources across their network
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCoffeeScript
coffeescript.org
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Company InformationJSON
Founded: 2001
www.json.org
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Company InformationNumPy
numpy.org
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Company Informationdistcc
Founded: 2002
United States
www.distcc.org
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
APIFuzzer
Azure Managed Redis
BotBonnie
CudaText
DOT Anonymizer
Dasha
Infraon AIOps
Infraon Infinity
IziTime
JSON Editor Online
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Integrations
APIFuzzer
Azure Managed Redis
BotBonnie
CudaText
DOT Anonymizer
Dasha
Infraon AIOps
Infraon Infinity
IziTime
JSON Editor Online
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Integrations
APIFuzzer
Azure Managed Redis
BotBonnie
CudaText
DOT Anonymizer
Dasha
Infraon AIOps
Infraon Infinity
IziTime
JSON Editor Online
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Integrations
APIFuzzer
Azure Managed Redis
BotBonnie
CudaText
DOT Anonymizer
Dasha
Infraon AIOps
Infraon Infinity
IziTime
JSON Editor Online
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