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Anaconda vs. Jupyter Notebook

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Anaconda

143 Reviews and Ratings

Jupyter Notebook

130 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Anaconda

    Score8.1 out of 10
    		N/AAnaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.

    $0

    per month

    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
    Pricing
    AnacondaJupyter Notebook
    Editions & Modules
    Free Tier
    $0
    per month
    Starter Tier
    $9
    per month
    Business Tier
    $50
    per month per user
    Enterprise Tier
    60.00+
    per month per user
    No answers on this topic
    Offerings
    Pricing Offerings
    AnacondaJupyter Notebook
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AnacondaJupyter Notebook
    Considered Both Products
    Anaconda
    Ammar Aboalrub
    Freelancer in Customer Service at Self Employed (Computer Software, 1-10 employees)
    Chose Anaconda
    There are several reasons why Anaconda is better to use for me including that it is much easier to use than Baycharm. Also, the user interface is not as complicated as that of Baycharm. Even Anaconda does not slow down my device, using PaySharm slowed down my device in an …
    Incentivized
    Zayed Rais
    Program Analyst in Information Technology at Cognizant (Information Technology & Services, 10,001+ employees)
    Chose Anaconda
    In Anaconda, [it is easy] to find and install the required libraries. Here, we can work on multiple projects with different sets of the environment. [It is] easy to create the notebook for developing the ML model and deployment. Right now, it is the best data science version …
    Incentivized
    Verified User
    Chose Anaconda
    Free ware, better design ease of use
    Incentivized
    Dilip Jain
    Senior Database Administrator in Engineering at Wedvyah (Entertainment, 51-200 employees)
    Chose Anaconda
    On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. …
    Incentivized
    Fernanda Ministerio
    Specialist in Information Technology at SENAI-DN (Non-profit Organization Management, 10,001+ employees)
    Chose Anaconda
    Some analyzed tools, such as PyCharm and Spyder, are simpler to use but still do not have all the libraries needed for those starting out in data science--or in institutions that need to grow in that direction. Anaconda is more robust but stable, more complete, and the …
    Incentivized
    Verified User
    Chose Anaconda
    If the project is not large scale then Jupiter notebooks or Visual Studio Code serve well. If you don't have any dependency on Python versions, these IDEs can be well suited for fast development and deployment.
    Incentivized
    Open Source
    Verified User
    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
    Arpit Ranka
    Graduate Student in Information Technology at New York University (Computer Software, 201-500 employees)
    Chose Jupyter Notebook
    haven't actually explored as I decided to use it on a friend 's recommendation.
    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
    AnacondaJupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Anaconda and Jupyter Notebook
    Feature
    Anaconda
    9.3
    25 Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    Connect to Multiple Data Sources9.822 Ratings10.022 Ratings
    Extend Existing Data Sources8.024 Ratings10.021 Ratings
    Automatic Data Format Detection9.721 Ratings8.514 Ratings
    MDM Integration9.614 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Anaconda and Jupyter Notebook
    Feature
    Anaconda
    8.5
    25 Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    Visualization9.025 Ratings6.022 Ratings
    Interactive Data Analysis8.024 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Anaconda and Jupyter Notebook
    Feature
    Anaconda
    9.0
    26 Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    Interactive Data Cleaning and Enrichment8.823 Ratings10.021 Ratings
    Data Transformations8.026 Ratings10.022 Ratings
    Data Encryption9.719 Ratings8.514 Ratings
    Built-in Processors9.620 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Anaconda and Jupyter Notebook
    Feature
    Anaconda
    9.2
    24 Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    Multiple Model Development Languages and Tools9.023 Ratings10.021 Ratings
    Automated Machine Learning8.921 Ratings9.218 Ratings
    Single platform for multiple model development10.024 Ratings10.022 Ratings
    Self-Service Model Delivery9.019 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Anaconda and Jupyter Notebook
    Feature
    Anaconda
    9.5
    21 Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    Flexible Model Publishing Options10.021 Ratings10.020 Ratings
    Security, Governance, and Cost Controls9.020 Ratings10.019 Ratings
    User Ratings
    AnacondaJupyter Notebook
    Likelihood to Recommend
    10.0
    (38 ratings)
    10.0
    (23 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    9.0
    (3 ratings)
    10.0
    (2 ratings)
    Support Rating
    8.9
    (9 ratings)
    9.0
    (1 ratings)