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description: Busca información actualizada sobre MATLAB. Lee opiniones verificadas y descubre sus funciones, características, precios y usabilidad. Compara MATLAB con productos similares hasta encontrar la opción adecuada.
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title: MATLAB: precios, funciones y opiniones | GetApp España 2026
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# MATLAB

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> MATLAB es una plataforma de programación y computación numérica que permite a las empresas e instituciones educativas crear modelos, desarrollar algoritmos, analizar conjuntos de datos y más. Los profesionales pueden usar el editor en vivo para crear scripts y mejorar el código mediante hipervínculos, imágenes y encabezados.
> 
> Veredicto: 2090 usuarios lo han valorado con **4.6/5**. De los mejores valorados en **Probabilidad de recomendación**.

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## Estadísticas y valoraciones rápidas

| Métrica | Valoración | Detalles |
| **En general** | **4.6/5** | 2090 Opiniones |
| Facilidad de uso | 4.0/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.2/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.2/5 | Basado en las opiniones generales |
| Funcionalidades | 4.6/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 80% | (8/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: The MathWorks

## Contexto comercial

- **Precio inicial**: 203,63 US$
- **Modelo de precios**:  (Prueba gratuita)
- **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+
- **Despliegue y plataformas**: Cloud, SaaS, Web, Mac (desktop), Windows (desktop)
- **Idiomas admitidos**: inglés
- **Países disponibles**: Estados Unidos

## Funcionalidades

- API
- Almacen de archivos
- Análisis de diseño
- Análisis de la supervivencia
- Análisis de regresión
- Análisis estadístico
- Búsqueda/filtro
- Civil
- Control estadístico de procesos
- Creación de informes y estadísticas
- Creación de informes/análisis
- Data Mining
- Descubrimiento de datos
- Dibujo 2D
- Eléctrica
- Gestión de datos
- Gestión de documentos
- Gestión del diseño
- Herramientas de colaboración
- Herramientas de presentación

## Integraciones (en total: 18)

- Azure Cosmos DB
- COMSOL Multiphysics
- EASA
- FEATool Multiphysics
- FICO Xpress Optimization
- Innoslate
- Microsoft Excel
- Microsoft Power BI
- MongoDB
- Neo4j Graph Database
- OnScale Solve
- OpenText Analytics Database
- Simulink
- Spotfire
- Tableau

… y 3 integraciones más

## Opciones de asistencia

- Chat

## Categoría

- [Herramientas de visualización de datos](https://www.getapp.es/directory/740/data-visualization/software)

## Categorías relacionadas

- [Herramientas de visualización de datos](https://www.getapp.es/directory/740/data-visualization/software)
- [Software de simulación](https://www.getapp.es/directory/146/simulation/software)
- [Software de análisis predictivo](https://www.getapp.es/directory/628/predictive-analytics/software)
- [Programas estadísticos](https://www.getapp.es/directory/361/data-analytics/software)
- [Software de diseño CAD](https://www.getapp.es/directory/1207/engineering-cad/software)

## Alternativas

1. [SIMUL8](https://www.getapp.es/software/124163/simul8) — 4.6/5 (142 reviews)
2. [AnyLogic](https://www.getapp.es/software/121879/anylogic) — 4.5/5 (518 reviews)
3. [SimScale](https://www.getapp.es/software/105393/simscale) — 4.5/5 (140 reviews)
4. [SimSolid](https://www.getapp.es/software/2048854/simsolid) — 4.4/5 (34 reviews)
5. [SAS Viya](https://www.getapp.es/software/2065099/sas-viya) — 4.4/5 (12 reviews)

## Opiniones

### "A must use in the biological world" — 5.0/5

> **Redaet** | *27 de mayo de 2021* | Investigación | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: Matlab's additional plugins and programming abilities has helped with my research analysis incredibly. It's allowed me to measure details that have not been reported in the past and has allowed me to learn more about coding language. I used a plugin known as celltracker. When doing so I was able to launch and see the additional coding. This helped me customize other scripts I later created for my work because I was able to see the backbone scripts through matlab. It's a lot more user friendly than other softwares like Fiji or R but because the language is similar it made it for an easier transition for me personally.
> 
> **Desventajas**: If you're using matlab for graphing data I find that the coding and implementation of stylistics components a bit more complicated than say using Prism or R. Sometimes text background looks dated and trying to change it takes a lot longer than it should. A really nice feature is the 3D graphs that are produced through Matlab but sadly they are pretty hard to transfer to reports and publications unless you capture the graph at a specific angle or use a screen recording of turning the 3D graph for presentation purposes.
> 
> I use Matlab personally to get quantitative data from micrscopy images. This allows me to report details in strucure and migration for cellular biology images. Although it's tricky when you first start using Matlab and it's counterparts, once you understand or look through the forums it's smooth sailing. Keep in mind if you plan on doing intensive analysis/calculations that's all possible with Matlab which has been extremly benefical for me but you will need a good computer. I find that some users play the software for lag/delays but Matlab is calculating such complex and small detailed analysis that the computer creates the delay in communication back to them. Overall without this program I would not have been able to 1)finish my Masters thesis and 2)provide support to my customers with my current job.

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### "Amazing simulator for digital communication systems" — 5.0/5

> **Usuario verificado** | *5 de mayo de 2024* | Software informático | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: It's easy syntax and predefined functions make the simulation of digital communication systems and techniques so easy and intuitive. I have gained abundant experience by going through the documentation and have been able to implement complex mathematical concepts with MATLAB.
> 
> **Desventajas**: It's a bit pricey if you don't have a subscription from your academic institution email. Also, it's not open source so you cannot customize it according to your specific needs, which makes it challenging for people in fields like machine learning.
> 
> MATLAB has helped me get a better understanding of modulation, demodulation, quantization, and various other concepts of digital communication through visualization and graphs. I also used it to play around with gaussian, segmentation and filters. A must-know for every aspiring ece engineer out there\!

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### "valuable tool for economic researchers" — 3.0/5

> **Muhammet** | *21 de diciembre de 2022* | Educación superior | Valoración de la recomendación: 5.0/10
> 
> **Puntos a favor**: The software may be somewhat more specialized than some other tools, as it is primarily designed for statistical analysis and modeling. However, it does have a wide range of functions and tools that can be useful for economic research, including functions for working with data, analyzing it statistically, and creating models and simulations. With some basic familiarity with the software and its capabilities, it can be a useful tool for economic research.
> 
> **Desventajas**: Cost is a problem, considering there are many resources in this area, ie, R, Python,Eventhough i say its user friendly, it still rather complex to use, when I suggest my college i need to explain at least for an hour. and we cannot perform all the types of analysis. This may require users to find workarounds or use other tools to perform these tasks.
> 
> Overall, while MATLAB is a powerful and widely used tool for statistical analysis and modeling, it may not be the best fit for all users, depending on their specific needs and resources. It is important for users to carefully consider their requirements and evaluate the pros and cons of using MATLAB before making a decision.

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### "The  Harbinger of Engineering Research" — 4.0/5

> **Gianetan** | *13 de diciembre de 2019* | Investigación | Valoración de la recomendación: 9.0/10
> 
> **Puntos a favor**: The abstraction of  best of the cutting edge techniques scaled down to function level makes it powerhouse of research in the field of science and engineering. Input of data in the form of matrices make it intuitive to use and visualization of data makes it an extension of your own mind. It doesn't take much time before it gets you working with the lifeless data transforming it useful insights.
> 
> **Desventajas**: The black box approach of using functions wherein you are aware what the input and output of function is but not its source code is a double edge sword. Whereas  it makes it easy to use the function per se but it also makes it difficult to customize software. The source code of the commonly used functions should be available.
> 
> MATLAB has been at the centerstage of our academic activities in general and research in particular. It has helped in solving research problems in the area of image processing. Medical diagnosis of various diseases, object recognition and character recognition are some specific areas in which  MATLAB has been really useful. Now I am also researching in the area of  data science. I have found it to be surprisingly and pleasantly useful in this area although people are making use of Python and its libraries and  R for this purpose.

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### "MATLAB Magic: Transformative Learning for Aspiring Software Engineers" — 4.0/5

> **Yamilka** | *23 de noviembre de 2023* | Software informático | Valoración de la recomendación: 9.0/10
> 
> **Puntos a favor**: For students studying software development, MATLAB is a useful tool. Its vast function library and simple syntax enable quick algorithm building and experimentation. The visualisation tools are excellent and aid in the understanding of difficult ideas. MATLAB is more than just a simple coding environment because to its seamless integration of modelling and simulation tools.
> 
> **Desventajas**: While MATLAB provides a wide range of tools, students on a tight budget may find the cost of the licence to be a drawback. Collaboration may also be limited by the fact that MATLAB scripts might not be as portable as programmes written in other languages. Because of its various features, some users could find the UI confusing.
> 
> In my pursuit of becoming a software engineer, MATLAB served as my guide through intricate mathematical models and algorithms. Its graphical skills improved my comprehension of software ideas that are essential to my academic career by transforming abstract theories into concrete visualisations.

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