Ruby

Ruby

Ruby Language

About

IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.

About

Wondering why Ruby is so popular? Its fans call it a beautiful, artful language. And yet, they say it’s handy and practical. Since its public release in 1995, Ruby has drawn devoted coders worldwide. In 2006, Ruby achieved mass acceptance. With active user groups formed in the world’s major cities and Ruby-related conferences filled to capacity. Ruby-Talk, the primary mailing list for discussion of the Ruby language, climbed to an average of 200 messages per day in 2006. It has dropped in recent years as the size of the community pushed discussion from one central list into many smaller groups. Ruby is ranked among the top 10 on most of the indices that measure the growth and popularity of programming languages worldwide (such as the TIOBE index). Much of the growth is attributed to the popularity of software written in Ruby, particularly the Ruby on Rails web framework.

About

Vyper is a contract-oriented, pythonic programming language that targets the Ethereum Virtual Machine (EVM). Security: It should be possible and natural to build secure smart-contracts in Vyper. Language and compiler simplicity: The language and the compiler implementation should strive to be simple. Auditability: Vyper code should be maximally human-readable. Furthermore, it should be maximally difficult to write misleading code. Simplicity for the reader is more important than simplicity for the writer, and simplicity for readers with low prior experience with Vyper (and low prior experience with programming in general) is particularly important.

About

The world's definitive system for modern technical computing. For three decades, Mathematica has defined the state of the art in technical computing—and provided the principal computation environment for millions of innovators, educators, students, and others around the world. Widely admired for both its technical prowess and elegant ease of use, Mathematica provides a single integrated, continually expanding system that covers the breadth and depth of technical computing—and is seamlessly available in the cloud through any web browser, as well as natively on all modern desktop systems. With energetic development and consistent vision for three decades, Mathematica stands alone in a huge range of dimensions, unique in its support for today's technical computing environments and workflows.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers requiring a scripting language for embedding, testing, or writing new applications

Audience

Open-source programming language solution for DevOps teams

Audience

Smart contract developers

Audience

Companies that need a technical computing system

Support

Phone Support
24/7 Live Support
Online

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

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$1,520 per year
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

Reviews/Ratings

Overall 4.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IronPython
ironpython.net

Company Information

Ruby Language
Founded: 1995
www.ruby-lang.org/en/

Company Information

Vyper
Founded: 2017
docs.vyperlang.org/en/stable/

Company Information

Wolfram
Founded: 1987
United States
www.wolfram.com/mathematica/

Alternatives

Alternatives

Lua

Lua

Lua Language

Alternatives

Clarity

Clarity

Clarity Smart Contracts

Alternatives

HAULSIM

HAULSIM

RPMGlobal
MatDeck

MatDeck

LabDeck
Mojo

Mojo

Modular
MATLAB

MATLAB

The MathWorks
Apache Groovy

Apache Groovy

The Apache Software Foundation
Java

Java

Oracle
XSharp (X#)

XSharp (X#)

XSharp
Plotly Dash

Plotly Dash

Plotly

Categories

Categories

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

Ably
ApiFlash
Buffer Editor
Cacher
Claude Sonnet 3.7
Codestral
Doc Converter Pro
Fynix
Gemini 1.5 Pro
Gemini 2.0 Flash
Handinger
Llama 4 Behemoth
Merico
Nancy
Padrino
Qwen2.5
Render
SonarQube for IDE
Spacemacs
Zed

Integrations

Ably
ApiFlash
Buffer Editor
Cacher
Claude Sonnet 3.7
Codestral
Doc Converter Pro
Fynix
Gemini 1.5 Pro
Gemini 2.0 Flash
Handinger
Llama 4 Behemoth
Merico
Nancy
Padrino
Qwen2.5
Render
SonarQube for IDE
Spacemacs
Zed

Integrations

Ably
ApiFlash
Buffer Editor
Cacher
Claude Sonnet 3.7
Codestral
Doc Converter Pro
Fynix
Gemini 1.5 Pro
Gemini 2.0 Flash
Handinger
Llama 4 Behemoth
Merico
Nancy
Padrino
Qwen2.5
Render
SonarQube for IDE
Spacemacs
Zed

Integrations

Ably
ApiFlash
Buffer Editor
Cacher
Claude Sonnet 3.7
Codestral
Doc Converter Pro
Fynix
Gemini 1.5 Pro
Gemini 2.0 Flash
Handinger
Llama 4 Behemoth
Merico
Nancy
Padrino
Qwen2.5
Render
SonarQube for IDE
Spacemacs
Zed
Claim IronPython and update features and information
Claim IronPython and update features and information
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