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NVD3 VS Bokeh

Compare NVD3 VS Bokeh and see what are their differences

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NVD3 logo NVD3

This project is an attempt to build re-usable charts and chart components for d3.

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • NVD3 Landing page
    Landing page //
    2021-07-31
  • Bokeh Landing page
    Landing page //
    2022-11-01

NVD3 videos

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Bokeh videos

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"Bokeh" - Netflix Film Review

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Category Popularity

0-100% (relative to NVD3 and Bokeh)

NVD3

Bokeh

Charting Libraries
49 49%
Charting Libraries
51% 51
Data Dashboard
47 47%
Data Dashboard
53% 53
Data Visualization
41 41%
Data Visualization
59% 59
Development
57 57%
Development
43% 43

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NVD3 and Bokeh

NVD3 Reviews

The Best Data Visualization Tools - Top 30 BI Software
This project is an attempt to build reusable charts and chart components for d3.js without taking away the power that d3.js gives you. The goal of the project is to keep all your charts neat and customizable. NVD3 is developed by the front end engineers at Novus Partners and uses their insight in charting technology.
Source: improvado.io

Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Bokeh should be more popular than NVD3. It has been mentiond 5 times since March 2021. 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.

NVD3 mentions (1)

  • Widely Used Data Display and Analysis Libraries
    NVD3 is also on the list of the most popular libraries. Built upon D3.js like the others above, it does have a solid technical base. - Source: dev.to / over 2 years ago

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
  • Profiling workflows with the Amazon Genomics CLI
    Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 2 years ago
  • 10 Python Libraries For Data Visualization
    Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / about 2 years ago
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
  • Help with Bokeh Interactive Plot
    Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 3 years ago

What are some alternatives?

When comparing NVD3 and Bokeh, you can also consider the following products

Plotly - Low-Code Data Apps

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

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.

ZoomCharts - Creating meaningful and aesthetically pleasing data visualizations and incorporating them into your projects is easy with the tools offered by ZoomCharts.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Google Charts - Interactive charts for browsers and mobile devices.

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