MATLAB

MATLAB

The MathWorks
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About

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.

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.

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

Modeling, simulation, and programming software that can be hosted in the cloud or on-premise

Audience

Developers interested in a beautiful but advanced programming language

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 4.7 / 5
ease 4.5 / 5
features 4.9 / 5
design 4.8 / 5
support 4.8 / 5

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • I like everything about it it’s so easy to write scripts if your every stuck you can use the help command and learn more about certain functions.
  • MatLab is an extraordinary software for solving complex equations, or creating/visualizing engineering concepts. I have used it for personal income calculators, PLC design, General graphing purposes etc. The search function to get help on functions is incredibly easy, and the user base is so large, you can always find an answer.
  • When it comes to computing, algebra is involved in an electrical circuit. MatLab is the first thing that comes to mind because, -Powerful yet easy to use. -Specifically, design to compute engineering equation. -Can interpret the result in diagrams and figures .
  • Easy to use Very reputed in the community Pretty basic Ui Best for plotting graphs and equations User friendly
  • Good user interface. High Performance. Large number of available functions. Great for data visualization. Available across platforms. Easy to use debugging tools.

Cons

  • I like everything I can’t think of anything to change.
  • Since it is based on matrices, sometimes programming can be a little different than other softwares where you don’t always start at 0. This is just something a programmer needs to be aware of. However, this is very negligible and easy to overcome. The price and requirements for frequent renewals to download new features is a bit frustrating.
  • When computing a huge amount of calculation in one go, Mathlab lacks in speed and sometimes lags. Secondly, the cost is too high, as a student, I could never buy it. But now I have bought it for my personal use as it helps a lot in my work.
  • No cons. using since my 2nd year of engineering and found no issues.
  • Resource intensive - slow to load. License price is high.

Pros & Cons from Real Users

Pros

  • Python is simple, easy to learn, but powerful and extensible. Python in my opinion is the best programming language to learn today.

Cons

  • I don't have any issues with Python at all. It's my favorite programming language.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The MathWorks
Founded: 1984
United States
www.mathworks.com

Company Information

Python
Founded: 1991
www.python.org

Alternatives

Alternatives

Alchemite

Alchemite

Intellegens
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group

Categories

Categories

CAD Features

2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles

Engineering Features

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

Financial Risk Management Features

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Simulation Features

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Artelys Knitro
BLACKBOX AI
Buffer Editor
CoppeliaSim
Devin
FEATool Multiphysics
Gemini Code Assist
Helix Editor
Macrobond
Modelscape
NVIDIA TensorRT
Notepad++
Plotly Dash
SWE-1.7
Snipplr
Sublime Text
Visplore
Webots
Wing Python IDE
bolt.diy

Integrations

Artelys Knitro
BLACKBOX AI
Buffer Editor
CoppeliaSim
Devin
FEATool Multiphysics
Gemini Code Assist
Helix Editor
Macrobond
Modelscape
NVIDIA TensorRT
Notepad++
Plotly Dash
SWE-1.7
Snipplr
Sublime Text
Visplore
Webots
Wing Python IDE
bolt.diy
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