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    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

    Spyder

    Score8.7 out of 10
    N/ASpyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.

    $0

    per month

    Pricing
    Jupyter NotebookSpyder
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookSpyder
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookSpyder
    Considered Both Products
    Open Source
    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
    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
    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
    Open Source
    Chose Spyder
    There were generic code editors and I use to have coding error and sometimes it was difficult to manage interpreter with these IDEs. With Ms vs code, there were lot of plugins available that we need to configure before starting writing code. With Spyder no base is supposed to …
    Incentivized
    Chose Spyder
    Spyder is well suited where the user needs to understand how the code is progressing as it provides a robust debugging feature.
    Incentivized
    Chose Spyder
    I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    100%
    Would buy again
    8 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    100%
    Delivers good value for the price
    8 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    88%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    86%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    8 Answers
    Features
    Jupyter NotebookSpyder
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Spyder
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Spyder
    -
    Ratings
    Connect to Multiple Data Sources10.022 Ratings00 Ratings
    Extend Existing Data Sources10.021 Ratings00 Ratings
    Automatic Data Format Detection8.514 Ratings00 Ratings
    MDM Integration7.415 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jupyter Notebook and Spyder
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    18% below category average
    Spyder
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Spyder
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Spyder
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.021 Ratings00 Ratings
    Data Transformations10.022 Ratings00 Ratings
    Data Encryption8.514 Ratings00 Ratings
    Built-in Processors9.314 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Jupyter Notebook and Spyder
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    10% above category average
    Spyder
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning9.218 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jupyter Notebook and Spyder
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    15% above category average
    Spyder
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookSpyder
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Visual Studio
    Score8.8 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    PyCharm
    Score9.3 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    WebStorm
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookSpyder
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.7
    (8 ratings)
    Usability
    10.0
    (2 ratings)
    8.0
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    8.0
    (2 ratings)
    User Testimonials
    Jupyter NotebookSpyder
    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
    Open Source
    Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.
    Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
    Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
    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
    Open Source
    • Provides wider screen to read and write code and flexibility to adjust size as per requirement.
    • While running the code it provide the variable overview and memory overview
    • Lightweight and easily available in Anaconda Navigator
    • Multiple compilation options are available
    • Works well for data analytics, Django, Flask and Fast API frameworks
    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
    Open Source
    • Colors in code format
    • Add a broadcast to share the project with friends
    • Contains more than one important language such as Python
    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
    Open Source
    It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.
    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
    Open Source
    Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
    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
    Open Source
    I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors
    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
    Open Source
    • It has helped me learn python quickly
    • The ability to generate figures quickly and interact with them is helpful
    Incentivized
    Read full review
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