Ruby

Ruby

Ruby Language
RunMat

RunMat

Dystr
+

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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

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

RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing MATLAB code with complete language grammar and core semantics. No license fees, no lock-in. RunMat is built with a modern compiler, which enables blazing-fast calculations. It boots in 5 milliseconds, GPU optimization is enabled by default, and it's a single, compact, cross-platform binary. Typical engineering use cases - Controls/signal processing & numerics: accelerate MATLAB-style loops plus heavy linear algebra; enjoy faster iteration due to instant startup and tiered JIT. - Batch/CI & serverless jobs: snapshots + compact binaries make it easy to run .m workloads in containers or ephemeral runners at scale. - Plot-heavy workflows: interactive GPU plots for exploratory analysis and reportable exports for stakeholders. - Education: remove license friction and start labs instantly; Jupyter kernel supports reproducible worksheets.

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

Open-source programming language solution for DevOps teams

Audience

Engineers, Scientists, Researchers

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

$0
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

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

Company Information

Dystr
Founded: 2020
United States
runmat.org

Alternatives

Alternatives

Lua

Lua

Lua Language

Alternatives

MATLAB

MATLAB

The MathWorks
Ruby

Ruby

Ruby Language
UberCloud

UberCloud

Simr (formerly UberCloud)
XSharp (X#)

XSharp (X#)

XSharp
SABR

SABR

Ricardo

Categories

Categories

Categories

Computer-Aided Engineering (CAE) Features

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

Integrations

Agno
Amazon CodeGuru
Cliprun
Codecov
Gemini 1.5 Flash
Gemini Embedding
Kedro
Merico
Northflank
Nova
Plotly Dash
Prompt flow
Rocket.new
SaaS Construct
Tabscanner
Tobiko
TopK
Zebedee
python-docx
txtai

Integrations

Agno
Amazon CodeGuru
Cliprun
Codecov
Gemini 1.5 Flash
Gemini Embedding
Kedro
Merico
Northflank
Nova
Plotly Dash
Prompt flow
Rocket.new
SaaS Construct
Tabscanner
Tobiko
TopK
Zebedee
python-docx
txtai

Integrations

Agno
Amazon CodeGuru
Cliprun
Codecov
Gemini 1.5 Flash
Gemini Embedding
Kedro
Merico
Northflank
Nova
Plotly Dash
Prompt flow
Rocket.new
SaaS Construct
Tabscanner
Tobiko
TopK
Zebedee
python-docx
txtai
Claim Python and update features and information
Claim Python and update features and information
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Claim Ruby and update features and information
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