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D3.js VS nbviewer.org

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

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 logo nbviewer.org

Rackspace server host Jupyter Notebooks from your github repo
  • 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 Landing page
    Landing page //
    2023-03-19

D3.js videos

Data Visualization with D3.js - Full Tutorial Course

More videos:

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

nbviewer.org videos

No nbviewer.org videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to D3.js and nbviewer.org)
Charting Libraries
100 100%
0% 0
Data Science And Machine Learning
Data Visualization
94 94%
6% 6
Data Science Notebooks
0 0%
100% 100

User comments

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Reviews

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

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...
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.
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...

nbviewer.org Reviews

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Social recommendations and mentions

Based on our record, D3.js seems to be a lot more popular than nbviewer.org. While we know about 160 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.

D3.js mentions (160)

  • Implementing GraphRAG for Query-Focused Summarization
    Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations. - Source: dev.to / 5 days ago
  • A visual guide to Vision Transformer – A scroll story
    Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / about 1 month ago
  • Full Stack Web Development Concept map
    d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 2 months ago
  • Observable 2.0, a static site generator for data apps
    Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d... - Source: Hacker News / 3 months ago
  • What is the technology stack used to create these live charts?
    They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 5 months ago
View more

nbviewer.org mentions (13)

  • Jupyter kernel for Logtalk
    Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year 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 1 year 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 1 year 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 2 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 2 years ago
View more

What are some alternatives?

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

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

Observable - Interactive code examples/posts

Plotly - Low-Code Data Apps

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.

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

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.