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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

    Minitab

    Score9.1 out of 10
    N/AMinitab Statistical Software can look at current and past data to discover trends, find and predict patterns, uncover hidden relationships between variables, and create visualizations. Key statistical tests available in Minitab include t tests, one and two proportions, normality test, chi-square, and equivalence tests. And its interactive tool with a gallery lets users view and explore multiple graph options without re-running analysis. Using the same selection of data each time, Graph Builder…N/A
    Pricing
    Jupyter NotebookMinitab
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookMinitab
    Free Trial
    NoNo
    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 NotebookMinitab
    Considered Both Products
    Open Source
    No answer on this topic
    Minitab
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    No answers on this topic
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    No answers on this topic
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    No answers on this topic
    Features
    Jupyter NotebookMinitab
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Minitab Statistical Software
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Minitab Statistical Software
    -
    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 Minitab Statistical Software
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Minitab Statistical Software
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Minitab Statistical Software
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Minitab Statistical Software
    -
    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 Minitab Statistical Software
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Minitab Statistical Software
    -
    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 Minitab Statistical Software
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Minitab Statistical Software
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookMinitab
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    IBM SPSS Statistics
    Score8 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Alteryx Platform
    Score9 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Alteryx Platform
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookMinitab
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.7
    (3 ratings)
    Usability
    10.0
    (2 ratings)
    8.2
    (3 ratings)
    Support Rating
    9.0
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Jupyter NotebookMinitab
    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
    Minitab
    Teaching statistics to undergraduate and graduate students non-majors.
    Teaching short courses in statistics for people from industry whose backgrounds are not statistics. They usually are not up to speed on coding and wants something that is easy to learn. Less appropriate for statistics majors or those developing statistical tools in a research environment.
    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
    Minitab
    • Life cycle product verification and control
    • Cpk value calculation and control
    • Historical data evaluation and decision making based on that data.
    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
    Minitab
    • This to be make financially affordable
    • Direct feeding of data provision need to provided
    • It must be update to handle large data.
    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
    Minitab
    All the users at our site required training to be able to utilize Minitab in the different departments. It would be nice to have a user-friendly/basic user version for those who just need to view charts, data, etc
    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
    Minitab
    Whenever I have a technical question, Minitab Statistical Software has been prompt in answering my question and even provided references and examples.
    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
    Minitab
    Minitab Statistical Software is far easiest to use and also has more functionality than the others.
    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
    Minitab
    • We could control our process and its continuous monitoring that reduce process failure chances.
    • It helpful in database decision making process like rejection or acceptance of batch.
    • Process is improved and productivity increased.
    Incentivized
    Read full review
    ScreenShots