Ada

Ada

AdaCore
Java

Java

Oracle
RunMat

RunMat

Dystr
+

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About

Ada is a state-of-the-art programming language that development teams worldwide are using for critical software, from microkernels and small-footprint, real-time embedded systems to large-scale enterprise applications, and everything in between. Why use Ada? In short, because you want to write reliable and efficient code, with confidence that it works, and not waste time and effort in the process. Ada is unique among languages in how it helps you detect and eliminate bugs early in the software life cycle when they are least expensive to correct. And as evidenced by the many successfully fielded applications that need to meet a hard time or space constraints, Ada helps you build software that is reliable, safe, and secure without sacrificing performance. At the technical level, Ada has everything you might expect in a modern language. Concurrent programming features, including support for multicore.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

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

Development teams interested in a solution to create small and large-scale enterprise applications

Audience

Developers looking for a Programming Language solution

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$0
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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AdaCore
www.adacore.com/about-ada

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

Dystr
Founded: 2020
United States
runmat.org

Alternatives

Alternatives

Alternatives

MATLAB

MATLAB

The MathWorks
UberCloud

UberCloud

Simr (formerly UberCloud)

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

AirMDR
Amazon Corretto
Atom
Augoor
CodeFactor
Codesphere
DecisionRules
EOD Historical Data
GaraSign
Google Chrome
Grok 4 Heavy
Hacker AI
Hyland Document Filters
Kiuwan Code Security
LearnHub
Sumocode
Tumult Analytics
VisualVM
YAML
ZenRows

Integrations

AirMDR
Amazon Corretto
Atom
Augoor
CodeFactor
Codesphere
DecisionRules
EOD Historical Data
GaraSign
Google Chrome
Grok 4 Heavy
Hacker AI
Hyland Document Filters
Kiuwan Code Security
LearnHub
Sumocode
Tumult Analytics
VisualVM
YAML
ZenRows

Integrations

AirMDR
Amazon Corretto
Atom
Augoor
CodeFactor
Codesphere
DecisionRules
EOD Historical Data
GaraSign
Google Chrome
Grok 4 Heavy
Hacker AI
Hyland Document Filters
Kiuwan Code Security
LearnHub
Sumocode
Tumult Analytics
VisualVM
YAML
ZenRows
Claim Ada and update features and information
Claim Ada and update features and information
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