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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

    Tableau Desktop

    Score8.6 out of 10
    N/ATableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.

    $1,380

    per year (purchased via a Creator license)

    Pricing
    Jupyter NotebookTableau Desktop
    Editions & Modules
    No answers on this topic
    Tableau Creator License
    $115
    per month (billed annually) per user
    Offerings
    Pricing Offerings
    Jupyter NotebookTableau Desktop
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
    More Pricing Information
    Community Pulse
    Jupyter NotebookTableau Desktop
    Considered Both Products
    Open Source
    Chose Jupyter Notebook
    Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot …
    Incentivized
    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
    Jupyter is easier to handle and user friendly.

    We have free access to it and its cell by cell executing feature is amazing.
    Incentivized
    Tableau
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    93%
    Would buy again
    52 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    91%
    Delivers good value for the price
    50 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    98%
    Happy with the feature set
    55 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    93%
    Lived up to sales and marketing promises
    38 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    44 Answers
    Features
    Jupyter NotebookTableau Desktop
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Tableau Desktop
    -
    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 Tableau Desktop
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Tableau Desktop
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Tableau Desktop
    -
    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 Tableau Desktop
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Tableau Desktop
    -
    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 Tableau Desktop
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Tableau Desktop
    -
    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 Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    8.5
    175 Ratings
    4% above category average
    Pixel Perfect reports00 Ratings8.0145 Ratings
    Customizable dashboards00 Ratings9.2174 Ratings
    Report Formatting Templates00 Ratings8.1151 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    8.5
    172 Ratings
    6% above category average
    Drill-down analysis00 Ratings8.6167 Ratings
    Formatting capabilities00 Ratings8.6170 Ratings
    Integration with R or other statistical packages00 Ratings8.1126 Ratings
    Report sharing and collaboration00 Ratings8.6165 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    8.5
    166 Ratings
    3% above category average
    Publish to Web00 Ratings8.1155 Ratings
    Publish to PDF00 Ratings8.2154 Ratings
    Report Versioning00 Ratings8.6120 Ratings
    Report Delivery Scheduling00 Ratings8.6128 Ratings
    Delivery to Remote Servers00 Ratings9.078 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    8.4
    164 Ratings
    5% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.7162 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.6156 Ratings
    Predictive Analytics00 Ratings8.7131 Ratings
    Pattern Recognition and Data Mining00 Ratings7.87 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    9.1
    149 Ratings
    7% above category average
    Multi-User Support (named login)00 Ratings9.1145 Ratings
    Role-Based Security Model00 Ratings9.1125 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.9136 Ratings
    Report-Level Access Control00 Ratings9.210 Ratings
    Single Sign-On (SSO)00 Ratings9.383 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    7.9
    141 Ratings
    3% above category average
    Responsive Design for Web Access00 Ratings8.6130 Ratings
    Mobile Application00 Ratings7.5101 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.5122 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Jupyter Notebook and Tableau Desktop
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Desktop
    7.7
    67 Ratings
    1% below category average
    REST API00 Ratings8.459 Ratings
    Javascript API00 Ratings7.653 Ratings
    iFrames00 Ratings6.751 Ratings
    Java API00 Ratings8.048 Ratings
    Themeable User Interface (UI)00 Ratings7.154 Ratings
    Customizable Platform (Open Source)00 Ratings8.448 Ratings
    Best Alternatives
    Jupyter NotebookTableau Desktop
    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
    Jaspersoft Community Edition
    Score7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookTableau Desktop
    Likelihood to Recommend
    10.0
    (23 ratings)
    9.1
    (204 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.5
    (41 ratings)
    Usability
    10.0
    (2 ratings)
    8.4
    (73 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (11 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (10 ratings)
    Support Rating
    9.0
    (1 ratings)
    1.0
    (57 ratings)
    In-Person Training
    -
    (0 ratings)
    9.4
    (4 ratings)
    Online Training
    -
    (0 ratings)
    8.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (34 ratings)
    Configurability
    -
    (0 ratings)
    7.0
    (3 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.4
    (115 ratings)
    Data Sources
    -
    (0 ratings)
    7.9
    (115 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (4 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Jupyter NotebookTableau Desktop
    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
    Tableau
    The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
    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
    Tableau
    • An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
    • Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
    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
    Tableau
    • Pricing should be more user-friendly and usage-driven
    • Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
    • Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Tableau
    Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
    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
    Tableau
    Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
    Read full review
    Reliability and Availability
    Open Source
    No answers on this topic
    Tableau
    When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
    Read full review
    Performance
    Open Source
    No answers on this topic
    Tableau
    Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
    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
    Tableau
    Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
    Incentivized
    Read full review
    In-Person Training
    Open Source
    No answers on this topic
    Tableau
    It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
    Read full review
    Online Training
    Open Source
    No answers on this topic
    Tableau
    I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
    Incentivized
    Read full review
    Implementation Rating
    Open Source
    No answers on this topic
    Tableau
    Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
    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
    Tableau
    I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
    Incentivized
    Read full review
    Scalability
    Open Source
    No answers on this topic
    Tableau
    Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
    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
    Tableau
    • Tableau was acquired years ago, and has provided good value with the content created.
    • Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
    • Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
    Incentivized
    Read full review
    ScreenShots