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nbviewer.org VS D3.js

Compare nbviewer.org VS D3.js and see what are their differences

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nbviewer.org logo nbviewer.org

Rackspace server host Jupyter Notebooks from your github repo

D3.js logo D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • nbviewer.org Landing page
    Landing page //
    2023-03-19
  • D3.js Landing page
    Landing page //
    2023-07-11

D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.

nbviewer.org features and specs

  • Simple Viewing
    nbviewer.org allows for easy rendering of Jupyter Notebook files directly in the browser without needing to run a Jupyter server locally.
  • Read-Only Access
    Notebooks are rendered in a read-only format, so users do not need to worry about accidental modifications while viewing.
  • No Installation Required
    Users don't need to install any software to view notebooks, which is beneficial for quick sharing with people who do not have Jupyter installed.
  • Supports Multiple File Sources
    Supports notebooks from various sources including URLs, GitHub repositories, and uploaded files.

Possible disadvantages of nbviewer.org

  • Lack of Interactivity
    Since nbviewer renders notebooks in a static, read-only mode, users cannot interact with the code or execute cells.
  • Dependency on External Hosting
    Requires access to hosted content, which may be unavailable if the source server is down or if there are network issues.
  • Security Concerns
    Hosting a notebook publicly via a URL or GitHub can expose sensitive data if not properly managed, as nbviewer does not provide authentication or access control.
  • No Offline Access
    Users need an internet connection to use nbviewer, which limits its utility in offline scenarios.

D3.js features and specs

  • Powerful Visualization
    D3.js allows for the creation of highly customized and interactive data visualizations, harnessing the full power of web standards like SVG, Canvas, and HTML.
  • Data Binding
    It offers robust support for data-driven transformations and binding, enabling intuitive connections between data sets and DOM elements.
  • Community and Ecosystem
    A large and active community contributes to tutorials, plugins, and tools, which can significantly simplify the development process.
  • Flexibility
    D3.js is highly flexible, providing low-level manipulation capabilities without being tied to any specific chart types or patterns.
  • Performance
    It is highly optimized for performance, allowing for efficient rendering of complex visualizations even with large data sets.

Possible disadvantages of D3.js

  • Steep Learning Curve
    D3.js has a steep learning curve due to its low-level nature and requires a solid understanding of JavaScript, DOM manipulation, and data concepts.
  • Complexity
    Creating complex visualizations can be time-consuming and require a significant amount of custom code, making it less approachable for quick, simple tasks.
  • Browser Compatibility
    Although widely supported, some D3.js features may have inconsistent behavior across different browsers, requiring additional testing and debugging.
  • Documentation
    While extensive, D3.js documentation can be challenging for beginners to navigate and understand, causing misunderstandings and slower development times.
  • Dependency Management
    The library itself is modular, but managing dependencies and integrating D3.js with other JavaScript frameworks or libraries can sometimes be problematic.

Analysis of D3.js

Overall verdict

  • Yes, D3.js is a highly regarded library for data visualization in the web development community.

Why this product is good

  • Flexibility: D3.js provides incredible flexibility in creating complex and interactive visualizations with web standards (SVG, HTML, and CSS).
  • Customization: It allows for high levels of customization, which lets developers create unique and detailed visualizations tailored to their specific needs.
  • Community and Ecosystem: D3.js has a large, active community and a rich ecosystem of plugins and extensions conducive to learning and integration.
  • Data Binding: Offers powerful ways to manipulate documents based on data; the data-driven approach simplifies dynamic interaction creation.
  • Performance: Efficiently manipulates DOM elements and performs well with large datasets if used correctly.

Recommended for

  • Data Scientists and Analysts looking to create custom, interactive visualizations.
  • Web Developers who need to incorporate complex data visualizations into applications.
  • Educators and Researchers presenting data in an engaging way.
  • Anyone needing to build bespoke visualizations that are not possible with off-the-shelf solutions.

nbviewer.org videos

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D3.js videos

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Data Visualization with D3.js - Full Tutorial Course

More videos:

  • Review - Let's learn D3.js - D3 for data visualization (full course)

Category Popularity

0-100% (relative to nbviewer.org and D3.js)

nbviewer.org

D3.js

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Data Visualization
4 4%
Data Visualization
96% 96

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare nbviewer.org and D3.js

nbviewer.org Reviews

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D3.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Depending on your requirements, the best JavaScript library is D3.js, as it’s by far the most customizable. However, it’s also really complex and difficult to master. Plus, it’s not as compatible with TypeScript as it is with JavaScript, which can be off-putting for some developers. If you’d prefer a less complex library that you can use with TypeScript, ECharts, and...
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in...
Source: www.sitepoint.com
Top 20 Javascript Libraries
D3 stands for Data-Driven Documents. With D3, you can apply data-driven transformations to DOM objects. The keyword with D3 is ‘data-driven,’ which means documents are manipulated depending on the data received. Data can be received in any format and bound with DOM objects. D3 is very fast and supports dynamic behavior for animation and interactions. There are plenty of...
Source: hackr.io
20+ JavaScript libraries to draw your own diagrams (2022 edition)
D3.js is a JavaScript library for manipulating documents based on data. Right now, I would say is the most popular library of its kind.
Source: modeling-languages.com
15 data science tools to consider using in 2021
Another open source tool, D3.js is a JavaScript library for creating custom data visualizations in a web browser. Commonly known as D3, which stands for Data-Driven Documents, it uses web standards, such as HTML, Scalable Vector Graphics and CSS, instead of its own graphical vocabulary. D3's developers describe it as a dynamic and flexible tool that requires a minimum amount...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, D3.js seems to be a lot more popular than nbviewer.org. While we know about 167 links to D3.js, we've tracked only 13 mentions of nbviewer.org. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

nbviewer.org mentions (13)

  • Jupyter kernel for Logtalk
    Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 2 years ago
  • Is there a CodePen/OverLeaf equivalent for sharing and viewing Jupyter Notebooks/Labs
    Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 2 years ago
  • Collaborative Jupyter Whiteboards
    Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 2 years ago
  • First data science project (visualization): What should I improve on?
    Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 3 years ago
  • Can someone please review my data visualisation notebook?
    I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 3 years ago
View more

D3.js mentions (167)

  • IO Devices and Latency
    Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / 3 months ago
  • 2024 Nuxt3 Annual Ecosystem Summary🚀
    Document address: D3.js Official Document. - Source: dev.to / 6 months ago
  • 100+ Must-Have Web Development Resources
    D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 8 months ago
  • What are npm Peer Dependencies and how to use them?
    A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 8 months ago
  • Introducing RacingBars 📊
    RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing nbviewer.org and D3.js, you can also consider the following products

Livebook - Automate code & data workflows with interactive Elixir notebooks

Chart.js - Easy, object oriented client side graphs for designers and developers.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Plotly - Low-Code Data Apps

nteract - nteract is a desktop application that allows you to develop rich documents that contain prose...

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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