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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

    PyCharm

    Score9.3 out of 10
    N/APyCharm is an extensive Integrated Development Environment (IDE) for Python developers. Its arsenal includes intelligent code completion, error detection, and rapid problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web development frameworks like Django and Flask by providing framework…

    $9.90

    per month per user

    Pricing
    Jupyter NotebookPyCharm
    Editions & Modules
    No answers on this topic
    For Individuals
    $99
    per year per user
    All Products Pack for Organizations
    $249
    per year per user
    All Products Pack for Individuals
    $289
    per year per user
    For Organizations
    $779
    per year per user
    Offerings
    Pricing Offerings
    Jupyter NotebookPyCharm
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookPyCharm
    Considered Both Products
    Open Source
    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
    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
    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
    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
    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 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
    It was great to import and export data and plots using Jupyter
    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
    JetBrains
    Chose PyCharm
    It is more complete and can handle more projects at the same time. On the other hand, Visual Studio Code has better integration with LMS to help you code. PyCharm allows you to integrate with many external tools and external servers that Visual Studio Code has difficulties with.
    Incentivized
    Chose PyCharm
    First of all, PyCharm is easy to install for beginners whose parent organization is JetBrains. It can be installed on any operating system with ease. It provides Python Django Framework for FrontEnd Developers which others do not provide. The UI is also simpler as compared to …
    Incentivized
    Chose PyCharm
    I preferred PyCharm because of its debugging capabilities, plus it has a built-in git versioning tool that helps teams to collaborate. I like the UI of this IDE, and it makes development very simple and enjoyable. PyCharm has helped in reducing development time because of its …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    96%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    96%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    96%
    Happy with the feature set
    23 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    100%
    Lived up to sales and marketing promises
    16 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    23 Answers
    Features
    Jupyter NotebookPyCharm
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and PyCharm
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    PyCharm
    -
    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 PyCharm
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    18% below category average
    PyCharm
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and PyCharm
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    PyCharm
    -
    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 PyCharm
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    10% above category average
    PyCharm
    -
    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 PyCharm
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    15% above category average
    PyCharm
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookPyCharm
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Visual Studio
    Score8.8 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    IntelliJ IDEA
    Score9.2 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 NotebookPyCharm
    Likelihood to Recommend
    10.0
    (23 ratings)
    9.6
    (42 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (2 ratings)
    Usability
    10.0
    (2 ratings)
    9.6
    (4 ratings)
    Support Rating
    9.0
    (1 ratings)
    8.3
    (13 ratings)
    User Testimonials
    Jupyter NotebookPyCharm
    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
    JetBrains
    PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.
    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
    JetBrains
    • Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
    • Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
    • Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
    • Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
    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
    JetBrains
    • The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    JetBrains
    It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
    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
    JetBrains
    It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
    Incentivized
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    Support Rating
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
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    JetBrains
    I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
    Incentivized
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    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
    JetBrains
    When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want to write production-grade code because it provides required suggestions.
    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
    JetBrains
    • PyCharm has a very positive ROI for our BU. It has increased developer productivity exponentially.
    • Software quality has significantly improved. We are able to refactor/test/debug the code quicker/faster/better.
    • Our business unit is able to deliver faster. Customers are happier than ever.
    Incentivized
    Read full review
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