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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

    Mode

    Score9 out of 10
    N/AMode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.N/A
    Pricing
    Jupyter NotebookMode
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookMode
    Free Trial
    NoYes
    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 NotebookMode
    Considered Both Products
    Open Source
    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
    ThoughtSpot
    Chose Mode
    Mode [Analytics] has a shorter learning curve and is better for starter analysts who are not yet Python fluent. They also require very little setup for report viewers to consume data, making it a more optimal solution for team members on the ground.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    100%
    Would buy again
    9 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    100%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    100%
    Happy with the feature set
    9 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
    6 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    6 Answers
    Features
    Jupyter NotebookMode
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Mode Analytics
    -
    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 Mode Analytics
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Mode Analytics
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Mode Analytics
    -
    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 Mode Analytics
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Mode Analytics
    -
    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 Mode Analytics
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Mode Analytics
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    8.5
    9 Ratings
    4% above category average
    Pixel Perfect reports00 Ratings9.34 Ratings
    Customizable dashboards00 Ratings8.49 Ratings
    Report Formatting Templates00 Ratings7.86 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    7.4
    9 Ratings
    8% below category average
    Drill-down analysis00 Ratings7.18 Ratings
    Formatting capabilities00 Ratings6.79 Ratings
    Integration with R or other statistical packages00 Ratings7.39 Ratings
    Report sharing and collaboration00 Ratings8.78 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    7.9
    8 Ratings
    4% below category average
    Publish to Web00 Ratings8.15 Ratings
    Publish to PDF00 Ratings5.88 Ratings
    Report Versioning00 Ratings7.74 Ratings
    Report Delivery Scheduling00 Ratings9.68 Ratings
    Delivery to Remote Servers00 Ratings8.34 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    6.5
    9 Ratings
    21% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.79 Ratings
    Location Analytics / Geographic Visualization00 Ratings5.56 Ratings
    Predictive Analytics00 Ratings6.46 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    9.5
    2 Ratings
    11% above category average
    Multi-User Support (named login)00 Ratings10.02 Ratings
    Role-Based Security Model00 Ratings9.02 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.02 Ratings
    Single Sign-On (SSO)00 Ratings9.82 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Jupyter Notebook and Mode Analytics
    Feature
    Jupyter Notebook
    -
    Ratings
    Mode Analytics
    9.0
    1 Ratings
    15% above category average
    REST API00 Ratings9.01 Ratings
    Best Alternatives
    Jupyter NotebookMode
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookMode
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.1
    (9 ratings)
    Usability
    10.0
    (2 ratings)
    8.1
    (4 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.4
    (5 ratings)
    User Testimonials
    Jupyter NotebookMode
    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
    ThoughtSpot
    Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
    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
    ThoughtSpot
    • It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
    • It allows for easy sharing and work collaboration on data analysis tasks
    • Mode has an easier to use SQL editor as well
    • I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on
    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
    ThoughtSpot
    • Date ranges aren't always the most intuitive to set, strangely
    • Faster refresh rates would be ideal
    • Would love more dynamic mobile device integration (alerts, etc)
    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
    ThoughtSpot
    For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
    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
    ThoughtSpot
    Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.
    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
    ThoughtSpot
    We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.
    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
    ThoughtSpot
    • Extremely positive. It's a key feature in our application.
    • Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.
    Incentivized
    Read full review
    ScreenShots