Matlab alternative computer modeling platform

What is ATLAS?

ATLAS - is a computer modeling system for engineering and science research. Based on low-code principles it facilitates visual development of complex mathematical and device functional models.

Our mission

Provide engineers and scientists with comfortable means of real system development, computation and analysis on high performance cloud-based platform.

Why ATLAS? [TL;DR]

ATLAS - state-of-the-art cloud platform, designed for high performance, which doesn't require programming skills of any particular language. It has more than 8000 toolboxes for specific technology fields.

Moreover, it is intuitive to use and no installation needed. Users of traditional platforms like MATLAB, Simulink, MathCAD, Python, C++ will find it so easy to transfer your code and models to ATLAS.

New era. New solutions.

ATLAS - high performance development environment featured by 8000 specific industry components.

Manufacturers can explore ATLAS as an end-to-end design system, starting from solving math problems, building complex algorithms, real-time device simulation or even representation of digital twins.

Industry R&D

ATLAS - modern platform for science research and engineering development
for the most important manufacturing industries and institutions.

Aviation

Research and design of parts, algorithm simulations, control systems, testing environment

Electronics

Design of electric schemas, protocols, algorithm testing, generating of embedded code

Robots

Movement algorithms, system integration, data analysis, Machine Learning

Automotive

Research and design of parts, simulations, AI algorithms, testing environments

Radio

Ground and satellite systems, radars, signal processing

Energy

Data analysis, system integration, research and development of new ESG technologies

Features

ATLAS can impress you with the amount of deep tech features. Besides unbelievably fast and flexible core features of Julia language, there are 8000+ toolboxes which you can use in your project,
including MATLAB, Python, C++, R, Java, etc..

Math

Differencial Equations
Statistics
Symbolic Math
Matrix, graphs
Numerical Analysis
Optimization
+ more than 200 modules

Physics

Quantum physics

Thermodynamics

Quantum mechanics

Electromagnetism

Hydrodynamics

Dynamic systems

Graphics

2D, 3D graphics

Infographics

Vector graphics

Discrete geometry

Image processing

+ more than 100 modules

Data

Tables, CSV
Databases: SQL, ODBC, Redis, PostgreSQL, MongoDB
Machine Learning
Deep Learning

Computation

Parallel

Distributed

Cloud

Cluster

Compilers

Solvers

Integration

Packages 8000+
API Python, MATLAB, R, C++, Java, Fortran, Perl, Go
Import JSON, CSV, SAS, Stata, SPSS, XML
VCS GitHub

ATLAS advantages

Open and flexible platform for research and modeling of complex processes

performance
First of all, ATLAS - is super fast. Heart of ATLAS - is Julia programming language, which is considered as one of the most performant languages significantly outdo MATLAB, Python, R and rather peer to C and Fortran.
openness and ease
Intuitive interface and no requirement for programming skills makes this platform a real user-friendly. You can use traditional languages such as MATLAB, R, Python or C to work inside ATLAS.
impressive functionality
ATLAS - is a universal platform which combines features of visual engineering, mathematical computations, and simulation of the processes. Those who really like to dive deep, there is a direct access to the Computational Core, 8000+ native toolboxes and thousands of Python, MATLAB, R, Java libraries ready for import.
cloud or server
From the very beginning we are utilizing containerization at the core of our architecture. Even we are hosted at the most reliable global cloud providers, some special organizations with network restrictions can deploy ATLAS on internal server or under VPN.
from 1 enginer to R&D center
We utilize modern micro-service architecture, which allows easily scale the platform by integrating new modules and functional parts. For instance, you an write genuine Jupyter Notebooks right inside ATLAS project!
3x less than matlab
Thanks to the modern cloud technologies and low requirements to the infrastructure, we managed to lower the Total Ownership Costs down to absolute affordable numbers for any type of user. Moreover, we agreed to provide free educational license for Universities and independent scientists.

How different?

Though ATLAS has similar syntax and math concept to MATLAB or other math soft, it is very
different in nature

Performance - xTimes faster (fibonacci task)

x200

x110

Tree-like visual Graph for code, math, and objects with dependencies

Support for vertical engineering design - hardware, algorythmic and software layers bound within a single device or a system

Support static, dynamic and user-defined data types

Multiple dispatch (ability to define function behavior across combinations of argument types)

Object-oriented schemas and simulations

Real-like engineering systems and components

Number of official toolboxes / packages

8000+

n/a

8000+

Units support, conversion, reduction to SI

Deeply customized plots and diagrams

Big data processing and analysis

Symbolic math

Human-like visual math (LaTex)

Immediate result for each computation step

Visual tracking of variables and object dependencies

User created engineering components

User created program modules and scripts

Multiple namespace per each program module

Open source core language with wide community

Unicode support for code, variables, parameters (multi-language, greek alphabet, math operators like ≠ ≥ ∈, etc.)
∞ = Inf ; 1 / ∞ == 0.0

Human-like equation syntax
if 2 ≤ x ≤ 5 f(x) = x*2
else f(x) = x/2

Rational numbers support, fractions
(3//5) // (2//1) == 3//10
inv(2//3) == 3//2

Core language

Julia

Java, C++, C

n/a

Julia

Online (cloud) computation time limits

unlimited

90 mins

no online

unlimited

ATLAS
ARCHITECTURE

WHAT'S INSIDE

Perhaps, the best there is.

Julia in our heart

Julia is a state-of-the-art programming language, designed for complex engineering tasks, absorbing all the best from the world of scientific research.

FAST

Julia - one of the most high performance languages in the world, significantly outperform MATLAB, Python, R, Java and works on the peer level with C and Fortran. Suitable for the Real-Time system design.

OPEN

Julia is a "friend" to many traditional languages, which makes it possible to integrate directly with C++, MATLAB, Python, R, Java.

PROVEN

Julia is already quite popular among 1500 universities in the world and more than 10.000 businesses: Amazon, Apple, AstraZeneca, Google, IBM, Intel, Pfizer, JP Morgan, NASA, Microsoft, Uber, etc.

Learn more about Julia

ATLAS visual engineering

Interface

Beautiful, intuitive interfae of the ATLAS

visual model design
no requirement for programming skills
easy to learn and use
native to developers and students

About the company

R-Soft - is a modern international software development company, headquartered in Moscow. We deeply specialize on scientific and engineering software and closely cooperate with leading universities and tech manufacturers.

Our team is a wonderful synergy of experienced engineers "from the field" and high-end software developers.

Team

As a modern employer we try to be flexible and as our clients' demand arise we use a lot of dynamic resources from our partners like CSSSR.We tend to fill

We strive to balance our team of software developers, system architects and computer scientists with true "hands-on" engineers with deep tech specialization of math, hydrodynamics, radio communications, encoding, physics, chemistry, control systems, etc.

Price

The actual price for ATLAS is easy to understand, but sometimes depends on
the number of licenses and extra features.
To get our pricing model or request a demo, please fill up the form.

Inquiry the price

Demo of ATLAS

Free pilot project upon your request