NVD3 VS Bokeh

Compare NVD3 VS Bokeh and see what are their differences

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NVD3

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

Bokeh

Bokeh visualization library, documentation site.

Landing page //
2021-07-31

Landing page //
2022-11-01

NVD3

Website: nvd3.org
$ Details

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Bokeh

Website: docs.bokeh.org
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NVD3 features and specs

Reusable Charts
NVD3 provides a variety of pre-built chart types that are easy to reuse and customize, saving developers time when creating standard visualization needs.
Based on D3.js
Utilizing D3.js ensures a high level of flexibility and the ability to integrate complex data manipulations with aesthetic chart outputs.
Ease of Use
NVD3 simplifies the process of generating complex visualizations by providing an intuitive API for interacting with D3.js charts.
Responsive Design
Many of the chart components are designed with responsiveness in mind, allowing them to adjust to different screen sizes and devices.

Possible disadvantages of NVD3

Limited Updates
NVD3 is not frequently updated, which may lead to compatibility issues or lack of support for newer web technologies.
Learning Curve
While it simplifies some aspects of D3.js, users still need to have a solid understanding of D3.js to fully leverage NVD3's capabilities, which can be steep for new users.
Limited Customization
Compared to directly using D3.js, NVD3 offers a more limited range of customization options for charts, potentially restricting designers looking for highly unique visualizations.
Documentation Quality
The documentation for NVD3 can be sparse or outdated, making it harder for developers to troubleshoot issues or learn best practices.

Bokeh features and specs

Interactive Visualizations
Bokeh is designed specifically for creating interactive and highly customizable visualizations, making it suitable for engaging data exploration.
Python Integration
Bokeh integrates well with the Python ecosystem, allowing direct use of pandas, NumPy, and other Python libraries, facilitating seamless data manipulation and visualization.
Web Compatibility
Bokeh generates plots that are ready to be embedded into web applications, making it a powerful tool for creating dashboards and interactive reports.
Server Functionality
Bokeh provides a server component that allows users to build and deploy sophisticated interactive applications using just Python.
Variety of Plotting Options
Bokeh offers a wide range of plotting capabilities including charts, maps, and streamgraphs, enabling users to create complex visual stories.

Possible disadvantages of Bokeh

Learning Curve
Bokeh may have a steeper learning curve for users unfamiliar with JavaScript or those looking for a very simple or quick plotting tool.
Performance Issues
When dealing with very large datasets, Bokeh might suffer from performance issues, as it is primarily client-side rendering.
Limited 3D Capabilities
Bokeh's support for 3D plotting is limited compared to other visualization libraries like Plotly, potentially restricting its use for applications that require 3D visualizations.
Documentation and Community Size
While Bokeh has good documentation, its user community is smaller compared to more mature libraries like Matplotlib, which can mean fewer resources and third-party support options.

NVD3 videos

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Bokeh videos

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"Bokeh" - Netflix Film Review

Category Popularity

0-100% (relative to NVD3 and Bokeh)

Bokeh

Charting Libraries

52 52%

Charting Libraries

48% 48

Data Dashboard

52 52%

Data Dashboard

48% 48

Data Visualization

45 45%

Data Visualization

55% 55

Development

57 57%

Development

43% 43

User comments

Share your experience with using NVD3 and Bokeh. For example, how are they different and which one is better?

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 3 years ago

Bokeh mentions (5)

[OC] Chemical Diversity of The GlobalChem Common Chemical Universe
Visualization: https://docs.bokeh.org/en/latest/. Source: almost 3 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 3 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 / over 3 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 4 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 4 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

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

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

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.

Google Charts - Interactive charts for browsers and mobile devices.