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Top Rated
41 Ratings

MATLAB

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Top Rated
94 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101

MATLAB

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Top Rated
94 Ratings
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Score 8.5 out of 101

Add comparison

Likelihood to Recommend

Anaconda

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon
Mauricio Quiroga-Pascal Ortega profile photo

MATLAB

Easy coding, Small data handling, curve fitting, and optimization of the system are all well suited in MATLAB, whereas if you have large sets of data they will make the process very slow. In my research, I always use Matlab for generating figures and analyzing the data. Sometimes, if the coding is composed with large data, then it is a problem. Overall, I will recommend using MATLAB as there is no other suitable software as user-friendly as MATLAB.
Md Shahinuzzaman profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
MATLAB
Visualization
Anaconda
7.0
MATLAB
Interactive Data Analysis
Anaconda
8.0
MATLAB

Data Preparation

Anaconda
7.0
MATLAB
Interactive Data Cleaning and Enrichment
Anaconda
7.0
MATLAB
Data Transformations
Anaconda
8.0
MATLAB
Data Encryption
Anaconda
6.0
MATLAB
Built-in Processors
Anaconda
7.0
MATLAB

Platform Data Modeling

Anaconda
5.7
MATLAB
Automated Machine Learning
Anaconda
4.0
MATLAB
Single platform for multiple model development
Anaconda
7.0
MATLAB
Self-Service Model Delivery
Anaconda
6.0
MATLAB

Model Deployment

Anaconda
4.5
MATLAB
Flexible Model Publishing Options
Anaconda
5.0
MATLAB
Security, Governance, and Cost Controls
Anaconda
4.0
MATLAB

Pros

  • Anaconda has iPython- Notebook that facilitates code writing in Python
  • It's very easy to install tour preferred the Python version
  • The risk of messing up the libraries is completely eliminated
Mauricio Quiroga-Pascal Ortega profile photo
  • Math calculations done easily, no need to add too many libraries or any complicated imports.
  • Plotting graphs is user friendly and they look good.
  • Keeping data in matrix form is useful, and they are easily accessible and referenced later in the code.
  • Easy access to stored matrices of data from the main screen. I really appreciate this feature to continuously double check how data is being saved and also to check the values from time to time.
No photo available

Cons

  • It's hard to get security updates when you leave the system packages
  • There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
  • Anaconda isn't as fast as PyPI publications
Mauricio Quiroga-Pascal Ortega profile photo
  • It is really expensive, and lots of the tools you need in order to read some type of files need to be paid for.
  • Running programs created using MATLAB can be challenging in some scenarios, since is not a commonly used software with some of our clients who prefer their programs to run in Excel via macros.
  • It's a closed source program so getting to know how it computes is really hard.
Manuel Aguilar profile photo

Usability

No score
No answers yet
No answers on this topic
MATLAB9.0
Based on 1 answer
I think it's great for beginners and really easy to learn, with all the documentation available
Luciana Montivero profile photo

Alternatives Considered

Anaconda is way easier to set-up. On Anaconda we have users working on Machine Learning in minutes, where on PyCharm is takes a lot longer to set-up and often involves getting help from IT. PyCharm is easier to integrate with Code repositories (such as GitHub), so if that's very important to you, you might want to take a look at PyCharm
No photo available
I use MATLAB, R Studio, and SPSS for data analysis needs. Each has their own positives and negatives that they bring to the table. I primarily use MATLAB for modeling due to ease of use and the maintenance of base code in this format.
Katie McFarland profile photo

Return on Investment

  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
Mauricio Quiroga-Pascal Ortega profile photo
  • Matlab is a tool that helps reduce costs and adds value to the tools of presentation and product design. For us Matlab has meant savings in the acquisition and implementation of a testing laboratory
  • The hiring of less man / hour of engineering and Of course competitive products at a reduced manufacturing cost.
  • The development process allows multiplicity of changes without this meaning an increase in cost.
Arlex Guzman profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

MATLAB

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details