What users are saying about

Jupyter Notebook vs MATLAB

Jupyter Notebook
Top Rated
104 Ratings
MATLAB
Top Rated
192 Ratings

Jupyter Notebook

Top Rated
104 Ratings
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Score 8.8 out of 100

Based on 104 reviews and ratings

MATLAB

Top Rated
192 Ratings
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Score 8.4 out of 100

Based on 192 reviews and ratings

Feature Set Ratings

    Platform Connectivity

    8.3

    Jupyter Notebook

    83%

    MATLAB

    Feature Set Not Supported
    N/A
    Jupyter Notebook ranks higher in 4/4 features
    Jupyter Notebook ranks higher in 4/4 features

    Connect to Multiple Data Sources

    8.6
    86%
    23 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    8.7
    87%
    22 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    8.6
    86%
    16 Ratings
    N/A
    0 Ratings

    MDM Integration

    7.5
    75%
    17 Ratings
    N/A
    0 Ratings

    Data Exploration

    9.2

    Jupyter Notebook

    92%

    MATLAB

    Feature Set Not Supported
    N/A
    Jupyter Notebook ranks higher in 2/2 features
    Jupyter Notebook ranks higher in 2/2 features

    Visualization

    9.3
    93%
    23 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    9.1
    91%
    23 Ratings
    N/A
    0 Ratings

    Data Preparation

    8.6

    Jupyter Notebook

    86%

    MATLAB

    Feature Set Not Supported
    N/A
    Jupyter Notebook ranks higher in 4/4 features
    Jupyter Notebook ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    9.0
    90%
    22 Ratings
    N/A
    0 Ratings

    Data Transformations

    8.8
    88%
    23 Ratings
    N/A
    0 Ratings

    Data Encryption

    8.3
    83%
    16 Ratings
    N/A
    0 Ratings

    Built-in Processors

    8.5
    85%
    15 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    8.8

    Jupyter Notebook

    88%

    MATLAB

    Feature Set Not Supported
    N/A
    Jupyter Notebook ranks higher in 4/4 features
    Jupyter Notebook ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    8.8
    88%
    22 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    8.9
    89%
    20 Ratings
    N/A
    0 Ratings

    Single platform for multiple model development

    8.9
    89%
    23 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    8.4
    84%
    22 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.6

    Jupyter Notebook

    86%

    MATLAB

    Feature Set Not Supported
    N/A
    Jupyter Notebook ranks higher in 2/2 features
    Jupyter Notebook ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.7
    87%
    21 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    8.6
    86%
    20 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • Jupyter Notebook is rated higher in 2 areas: Likelihood to Recommend, Usability
    • MATLAB is rated higher in 1 area: Support Rating

    Likelihood to Recommend

    9.1

    Jupyter Notebook

    91%
    24 Ratings
    8.5

    MATLAB

    85%
    55 Ratings

    Usability

    10.0

    Jupyter Notebook

    100%
    1 Rating
    9.8

    MATLAB

    98%
    4 Ratings

    Support Rating

    9.0

    Jupyter Notebook

    90%
    1 Rating
    9.2

    MATLAB

    92%
    13 Ratings

    Likelihood to Recommend

    Jupyter Notebook

    I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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    Lindsay Veazey | TrustRadius Reviewer
    Lindsay Veazey
    View all 24 answers on this topic

    MATLAB

    MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 55 answers on this topic

    Pros

    Jupyter Notebook

    • Code presentation- with Jupyter Notebook you can deploy codes and markdowns which makes the code easy to read and understand.
    • User interface- the user interface of the Jupyter Notebook is very smooth, there are a lot of easy shortcuts as well the icons to make our work easier
    • Server hosting- with Jupyter Notebook server hosting is very easy which adds to the security feature

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    Aditya Kumar | TrustRadius Reviewer
    Aditya Kumar
    View all 24 answers on this topic

    MATLAB

    • It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
    • The graphical user interface provided by the software is really good.
    • The code that a person writes allows options for debugging.
    • One can visualize the flow of control of their code inside MATLAB.

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    Saransh Dikshit | TrustRadius Reviewer
    Saransh Dikshit
    View all 55 answers on this topic

    Cons

    Jupyter Notebook

    • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
    • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 24 answers on this topic

    MATLAB

    • MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
    • MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
    • There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.

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    Abdullah Umair Bajwa | TrustRadius Reviewer
    Abdullah Umair Bajwa
    View all 55 answers on this topic

    Pricing Details

    Jupyter Notebook

    General

    Free Trial
    —
    Free/Freemium Version
    —
    Premium Consulting/Integration Services
    —
    Entry-level set up fee?
    No

    Starting Price

    —

    Jupyter Notebook Editions & Modules

    —
    Additional Pricing Details
    —

    MATLAB

    General

    Free Trial
    —
    Free/Freemium Version
    —
    Premium Consulting/Integration Services
    —
    Entry-level set up fee?
    No

    Starting Price

    $49 per student license

    MATLAB Editions & Modules

    Edition
    Standard$8601
    Standard$2,1502
    Education$5002
    Education$2503
    Student$494
    Student$495
    Home$1496
    1. per year
    2. perpetual license
    3. per year
    4. per student license
    5. per student suite license
    6. perpetual license
    Additional Pricing Details
    —

    Usability

    Jupyter Notebook

    Jupyter Notebook 10.0
    Based on 1 answer
    Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 1 answers on this topic

    MATLAB

    MATLAB 9.8
    Based on 4 answers
    MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.

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    Tom Reid | TrustRadius Reviewer
    Tom Reid
    View all 4 answers on this topic

    Support Rating

    Jupyter Notebook

    Jupyter Notebook 9.0
    Based on 1 answer
    I haven't had a need to contact support. However, all required help is out there in public forums.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 1 answers on this topic

    MATLAB

    MATLAB 9.2
    Based on 13 answers
    The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 13 answers on this topic

    Alternatives Considered

    Jupyter Notebook

    I have used PyCharm as well as Jupyter Notebook and for me, Jupyter wins almost every time. I really like its user-friend interface for someone who is new to python programming. The ability to run a big chunk of code part by part is a big game-changer for me. One thing I would like is a night mode just like PyCharm as it helps the night owls like myself who work a big part during the night. I also like how Anaconda command prompt helps you download a library and just a simple import statement in the notebook helps you extract every functionality.

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    Rounak Verma | TrustRadius Reviewer
    Rounak Verma
    View all 24 answers on this topic

    MATLAB

    How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.

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    Juan Carlos Molina Castejón | TrustRadius Reviewer
    Juan Carlos Molina Castejón
    View all 55 answers on this topic

    Return on Investment

    Jupyter Notebook

    • Positive impact: flexible implementation on any OS, for many common software languages
    • Positive impact: straightforward duplication for adaptation of workflows for other projects
    • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

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    Lindsay Veazey | TrustRadius Reviewer
    Lindsay Veazey
    View all 24 answers on this topic

    MATLAB

    • MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
    • The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
    • We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.

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    Tyler Grudowski | TrustRadius Reviewer
    Tyler Grudowski
    View all 55 answers on this topic

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