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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

    Lyssna

    Score7.8 out of 10
    N/ALyssna (formerly UsabilityHub) is a user research platform used to test digital products with real users and gain insights into their audience. Its tools and features help Lyssna to optimize users' designs and create more engaging user-friendly experiences. Lyssna is a research platform, offering a broad range of testing features including: Five Second Testing - Used to quickly test the effectiveness of landing pages, messaging and designs by showing users a…

    $0

    per month (3 seats included)

    Pricing
    Jupyter NotebookLyssna
    Editions & Modules
    No answers on this topic
    Free
    $0
    3 seats included
    Growth
    $199
    per month 5 seats included
    Enterprise
    Contact Sales
    custom seats
    Offerings
    Pricing Offerings
    Jupyter NotebookLyssna
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Discount available for annual plan. Panel responses are priced seperately.
    More Pricing Information
    Community Pulse
    Jupyter NotebookLyssna
    Considered Both Products
    Open Source
    No answer on this topic
    Lyssna
    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 NotebookLyssna
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Lyssna
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Lyssna
    -
    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 Lyssna
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Lyssna
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Lyssna
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Lyssna
    -
    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 Lyssna
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Lyssna
    -
    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 Lyssna
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Lyssna
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookLyssna
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Dovetail
    Score8.6 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Optimal
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookLyssna
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.0
    (5 ratings)
    Usability
    10.0
    (2 ratings)
    7.0
    (1 ratings)
    Support Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Jupyter NotebookLyssna
    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
    Lyssna
    UsabilityHub is well suited for remote unmoderated testing. Responses are captured very quickly and live updates allow the user to keep track of how the test is performing. The types of testing that make the most sense to use on UsabilityHub are preference test, first click test, navigational, and design surveys. It is less appropriate for one-on-one testing and lengthy questionnaires.
    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
    Lyssna
    • Rapid user feedback
    • Demographic targeting
    • Well presented results
    • Easy to use
    • Relatively inexpensive
    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
    Lyssna
    • Add additional demographic sorting options for the audience to better meet the needs of B2B users - for example include industry type, functional area, etc.
    • Bring back the navigation test type
    • Add additional test types
    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
    Lyssna
    Due to its simplicity and design it is really easy to navigate. You can clearly understand which sections you have completed and which are still left to be done. It is also really easy to change ordering of content etc, which I have found hasn’t been an option in other tools which means it is a really lengthy task of rewriting all of the tasks or questions to get them in the correct order that is desired.
    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
    Lyssna
    No answers on this topic
    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
    Lyssna
    UsabilityHub provides very fast, short responses to specific questions about a static image of a website. This is useful for checking what is most prominent on a page, what they would click on, what they see/read within the first 5 seconds of landing etc. WhatUsersDo is a broader tool, that records the screen and audio as a user navigates the website. You can set tasks and ask questions, but it much more about the user journey experience and their opinion, rather than testing a particular feature. Feedback also takes a bit longer. Hotjar is a combination of both, its a screen recording which helps you to see where users click and move to, but there is no audio or text feedback, just heatmaps/click maps for watching user behaviour.
    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
    Lyssna
    • Increase in testing frequency per quarter.
    • Increase in approved projects for developments.
    • Few reverts per project.
    Incentivized
    Read full review
    ScreenShots

    Lyssna Screenshots

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