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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Jupyter Notebook

    Score9.4 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

    Posit

    Score10 out of 10
    N/APosit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
    Pricing
    Jupyter NotebookPosit
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookPosit
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookPosit
    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
    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
    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
    Posit (formerly RStudio)
    Chose Posit
    Posit is far better than Jupyter Notebook and Minitab in this regard that Posit is actually capable of doing all kind of analytical stuffs like data pre-processing, wrangling, validation and visualization. On the other hand, Jupyter Notebook can be used for python programming …
    Incentivized
    Chose Posit
    RStudio works really well compared to competitors such as Jupyter Notebook where there is no environment to visualize variables. RStudio on the other hand is much easier to use and provides the right set of environments for users.
    Incentivized
    Chose Posit
    RStudio stacks up pretty well against Anaconda. However, Anaconda might be the first choice for someone who likes Python for their analytics and machine learning needs. In the past, I have found it seamless to connect Jupyter Notebook (in Anaconda suite) to integrate with other …
    Incentivized
    Chose Posit
    Jupyter Notebook is a similar tool, which is also good. RStudio has better support on R, and it's easier to generate and share analysis reports through the RStudio connect.
    Incentivized
    Chose Posit
    We feel that RStudio Teams is so far one of the best prototyping environments for data scientists. It is much more robust than standard JupyterLab/Jupyter Notebook instances in the cloud and it supports better authentication methods, allows to share your content via RStudio …
    Incentivized
    Chose Posit
    Python IDEs like Spyder or Jupyter Notebooks are not steady and stable as compared to RStudio.
    The newer version of Python or Installing new Library corrupted the Spyder or Jupyter Notebook versions, not same with RStudio!
    There are not easily available tools like RShiny in order …
    Incentivized
    Chose Posit
    I used them to run Python codes, so that not really comparable here. I will describe my experience around it. I feel that Jupyter Notebook is the closest product to RMarkdown file, as it allows users to run line by line and share outcomes underneath. PyCharm and Visual Studio …
    Incentivized
    Chose Posit
    RStudio's user interface is easier to use than Jupyter Notebook (particularly for users that are new to programming). Many of our users have experience with RStudio Desktop, so switching to RStudio Server Pro was very easy. Deploying applications is also much easier thanks to …
    Incentivized
    Chose Posit
    RStudio is free like Jupyter Notebook and VS Code. The others all require additional cost to use.

    RStudio has more features than Jupyter Notebook. VS Code doesn't support R natively and require plugins, and it's not as mature as RStudio yet.
    Incentivized
    Chose Posit
    inter-departmental collaboration - my first choice would be TIBCO Spotfire natural language processing and knowledge graphs - my first choice would be Python information security & visualizations (including d3.js libraries) - my first choice is RStudio
    Incentivized
    Chose Posit
    RStudio stacks up pretty well against its competition. For me, it is really up to personal preference and what you are used to when deciding between the competitions. I like that Python packages have the most external resources, so it's easier to troubleshoot. But RStudio does …
    Incentivized
    Chose Posit
    RStudio is free and so that is the main reason that I use it. I like that it is open source and so there are lots of support on the internet. I tried SAS JMP and Python in a text editor but RStudio was better than either of those options for cost and code flexibility …
    Incentivized
    Chose Posit
    These all work synergistically and fulfill slightly different roles. In general this is determined by complexity of task and the degree of training and expertise of the end user. RStudio works well for organisations looking to move into doing more complex analytics. In general …
    Incentivized
    Chose Posit
    Most bioinformaticians and scientists prefer coding in R, however python is the widely used language also. I have seen that Rstudio has definitely improved and the addition of python capability has made it easier for both python and R programmers. The built in terminal has also …
    Incentivized
    Chose Posit
    Spyder allows auto-write and recommendations in code, RStudio could potentially offer such integrations easily.
    Incentivized
    Chose Posit
    RStudio gives a more integrated R experience compared to Jupyter. RStudio is the ideal tool for running R interactively.
    Incentivized
    Chose Posit
    Honestly there is no other player in the R IDE game that I would even consider worthy of comparison. If you code in R, you need RStudio.
    Incentivized
    Chose Posit
    I've been pitched a few different data science notebook tools that tend to be more expensive and less suited to R development. I don't think I've actually seen another product that really compares to RStudio Connect for publishing Shiny Apps. I think the alternative there is …
    Incentivized
    Chose Posit
    Rodeo, jupyter and other editors RStudio like for both R and Python are simply not at the level of RStudio and they do not provide the same range of features that comes with it.
    Incentivized
    Chose Posit
    Far better integrated and easy to use. The only full-blown Python IDE is PyCharm, and it is a monolith. I used Spyder instead. I was very happy when RStudio added Python support so I can ditch Jupyter Notebooks, which really isn't an IDE but is more like RMarkdown, a small …
    Incentivized
    Chose Posit
    While many of these are great, RStudio is the best for R work. There is also native support in the IDE for combining other languages, like Python, into workflows easily so work across languages can be handled in one location.
    Incentivized
    Chose Posit
    Because RStudio is more specifically focused on facilitating programming in R, whereas these other IDEs focus either on more general programming frameworks or a different language, it is the best choice for most of our analysis. Computational biology relies heavily on the …
    Incentivized
    Chose Posit
    I have tried to work a bit with Jupyer notebooks and Spyder, but both are way less agreeable than RStudio.
    Once you taste RStudio, you can't go back!
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Jupyter NotebookPosit
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Posit
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    Posit
    9.3
    27 Ratings
    Connect to Multiple Data Sources10.022 Ratings8.026 Ratings
    Extend Existing Data Sources10.021 Ratings10.027 Ratings
    Automatic Data Format Detection8.514 Ratings10.026 Ratings
    MDM Integration7.415 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jupyter Notebook and Posit
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    Posit
    9.0
    27 Ratings
    Visualization6.022 Ratings8.027 Ratings
    Interactive Data Analysis8.022 Ratings10.024 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Posit
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    Posit
    10.0
    26 Ratings
    Interactive Data Cleaning and Enrichment10.021 Ratings10.024 Ratings
    Data Transformations10.022 Ratings10.026 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 Posit
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    Posit
    10.0
    22 Ratings
    Multiple Model Development Languages and Tools10.021 Ratings10.022 Ratings
    Automated Machine Learning9.218 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings10.022 Ratings
    Self-Service Model Delivery8.020 Ratings10.019 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jupyter Notebook and Posit
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    Posit
    9.9
    18 Ratings
    Flexible Model Publishing Options10.020 Ratings10.018 Ratings
    Security, Governance, and Cost Controls10.019 Ratings9.915 Ratings
    User Ratings
    Jupyter NotebookPosit
    Likelihood to Recommend
    10.0
    (23 ratings)
    10.0
    (123 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.7
    (17 ratings)
    Usability
    10.0
    (2 ratings)
    8.0
    (4 ratings)
    Availability
    -
    (0 ratings)
    9.4
    (3 ratings)
    Support Rating
    9.0
    (1 ratings)
    8.9
    (9 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.3
    (4 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (3 ratings)