TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Jupyter Notebook

    Score8.6 out of 10
    N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
    Pricing
    Jupyter Notebook
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter Notebook
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Jupyter Notebook
    Considered Both Products
    Open Source
    Chose Jupyter Notebook
    As a beginner I tried all of them but finally due to simple and user friendly interface I opted it. I also tried visual basic which is also good platform with versatility, however for basic need it is the best.
    Incentivized
    Chose Jupyter Notebook
    Jupyter is very easy to understand and easy to use. And can also be used by a student, freelancer, small industries, big industries. Jupyter also provides you a tool to work with machine learning and artificial intelligence.
    Incentivized
    Chose Jupyter Notebook
    Negligible or no cost, Highly efficient, effective, scalable , hasslefree
    Incentivized
    Chose Jupyter Notebook
    Jupyter Notebook is very attractive platform for new developers to code and to learn programming and perform tasks as compared to other IDE. It has very well and easy visualization, interactive programming and sharing the live code and slideshow is very easy as compare to …
    Incentivized
    Chose Jupyter Notebook
    Jupyter is still the most well known and widely used platform I've seen. Using it over other competition like Zeppelin simply because of its availability, and my familiarity with its functionality.
    Incentivized
    Chose Jupyter Notebook
    Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot …
    Incentivized
    Chose Jupyter Notebook
    Well, so far Jupyter Notebook has been the better tool for me. It gives us more freedom & has more ability to train ML models & do the data visualization more efficiently. It's easier to operate & has a very simple-to-understand UI & with the support for taking data from …
    Incentivized
    Chose 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 …
    Incentivized
    Chose Jupyter Notebook
    It should have cleaner support for multi-environment setup and should also increase the amount of features. Moreover, more support should be present for other programming languages. It should also have the option to set a specific location that opens up whenever I run command …
    Incentivized
    Chose Jupyter Notebook
    Jupyter is easier to handle and user friendly.

    We have free access to it and its cell by cell executing feature is amazing.
    Incentivized
    Chose Jupyter Notebook
    Jupyter Notebook has a nicer interface than RStudio in our opinion and since most of our group is familiar with Jupyter Notebook it has made it a default choice. Overall the interactive programming as well as the easy visualizations, model deployment, and markdown made Jupyter …
    Incentivized
    Chose Jupyter Notebook
    Jupyter Notebook is the core feature extended on by many commercial alternatives. The commercial alternatives have more feature integration with the rest of their portfolio. RStudio is another competitor for interactive and literate programming.

    Incentivized
    Chose Jupyter Notebook
    haven't actually explored as I decided to use it on a friend 's recommendation.
    Incentivized
    Chose Jupyter Notebook
    An interesting thing is that Jupyter Notebook is run on browser environments which may or may not be a positive feature according to cases. VS Code on [the] other hand doesn't use any interface and can run Jupyter Notebooks too. Sometimes my browser consumes too much RAM due to …
    Incentivized
    Chose Jupyter Notebook
    It was great to import and export data and plots using Jupyter
    Incentivized
    Chose Jupyter Notebook
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better …
    Incentivized
    Chose Jupyter Notebook
    I like Jupyter Notebook over the other two because it keeps my work more organized. It helps me to structure my workflow and the ability to run commands in chunks keeps me from being confused when coming back to the work after some time.
    Incentivized
    Chose Jupyter Notebook
    I selected Jupyter Notebook because this is better integrated with the existing production systems than optional tools (for example, R). It is also commonly used tool within the scientist community.
    Incentivized
    Chose Jupyter Notebook
    When I tried Zeppelin in 2017, it was still in initial versions, Jupyter was way ahead as of then. Zeppelin had limitations and I wasn't confident of it making progress as much as Jupyter.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    Features
    Jupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Connect to Multiple Data Sources10.022 Ratings
    Extend Existing Data Sources10.021 Ratings
    Automatic Data Format Detection8.514 Ratings
    MDM Integration7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jupyter Notebook
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Visualization6.022 Ratings
    Interactive Data Analysis8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    14% above category average
    Interactive Data Cleaning and Enrichment10.021 Ratings
    Data Transformations10.022 Ratings
    Data Encryption8.514 Ratings
    Built-in Processors9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Jupyter Notebook
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Multiple Model Development Languages and Tools10.021 Ratings
    Automated Machine Learning9.218 Ratings
    Single platform for multiple model development10.022 Ratings
    Self-Service Model Delivery8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jupyter Notebook
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Flexible Model Publishing Options10.020 Ratings
    Security, Governance, and Cost Controls10.019 Ratings
    Best Alternatives
    Jupyter Notebook
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternatives
    User Ratings
    Jupyter Notebook
    Likelihood to Recommend
    10.0
    (23 ratings)
    Usability
    10.0
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    User Testimonials
    Jupyter Notebook
    Likelihood to Recommend
    Open Source
    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.
    Incentivized
    Read full review
    Pros
    Open Source
    • Simple and elegant code writing ability. Easier to understand the code that way.
    • The ability to see the output after each step.
    • The ability to use ton of library functions in Python.
    • Easy-user friendly interface.
    Incentivized
    Read full review
    Cons
    Open Source
    • 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.
    Incentivized
    Read full review
    Usability
    Open Source
    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.
    Incentivized
    Read full review
    Support Rating
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
    Read full review
    Alternatives Considered
    Open Source
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
    Incentivized
    Read full review
    Return on Investment
    Open Source
    • 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
    Incentivized
    Read full review
    ScreenShots