Software Alternatives, Accelerators & Startups

CanvasJS VS Bokeh

Compare CanvasJS VS Bokeh and see what are their differences

CanvasJS logo CanvasJS

HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • CanvasJS Landing page
    Landing page //
    2021-09-20

CanvasJS is an easy to use HTML5 and Javascript Charting library which supports 30+ chart types including line, column, bar, area, pie, financial and much more. It runs across devices including iPhone, iPad, Android, Windows Phone, Microsoft Surface, Desktops, etc. This allows you to create rich dashboards that work on all the devices without compromising on maintainability or functionality of your web application.

  • Bokeh Landing page
    Landing page //
    2022-11-01

CanvasJS

$ Details
freemium $149.0 / Annually
Platforms
Web
Release Date
2013 March

Bokeh

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

CanvasJS features and specs

  • Easy to Use
    CanvasJS offers a straightforward API and extensive documentation, making it easy for developers to quickly integrate charts into their applications.
  • Performance
    CanvasJS uses HTML5 Canvas for rendering, which provides excellent performance, especially for large datasets or real-time updates.
  • Cross-Browser Compatibility
    Charts rendered with CanvasJS work across all modern web browsers, ensuring a consistent experience for users.
  • Variety of Chart Types
    CanvasJS supports a wide range of chart types including line, bar, pie, and more, offering flexibility for different data visualization needs.
  • Responsive Design
    Charts created with CanvasJS are responsive and adjust well to different screen sizes, which is crucial for mobile and tablet support.

Possible disadvantages of CanvasJS

  • Licensing Cost
    While CanvasJS offers a free version, the full-featured version requires a commercial license, which may be costly for small projects or individual developers.
  • Limited Customization
    Although CanvasJS provides several customization options, it may not be as flexible as other libraries when it comes to highly specific or complex customizations.
  • Dependency on JavaScript
    Being a JavaScript library, CanvasJS requires a working knowledge of JavaScript, which could be a barrier for beginners or developers coming from other programming languages.
  • Learning Curve for Complex Features
    Although basic usage is simple, mastering all of the advanced features and customization options may take some time and effort.

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.

CanvasJS videos

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Bokeh videos

"Bokeh" - Netflix Film Review

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Category Popularity

0-100% (relative to CanvasJS and Bokeh)
Charting Libraries
64 64%
36% 36
Data Dashboard
68 68%
32% 32
Data Visualization
54 54%
46% 46
Development
62 62%
38% 38

User comments

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Reviews

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

CanvasJS Reviews

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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...

Social recommendations and mentions

Based on our record, CanvasJS should be more popular than Bokeh. It has been mentiond 11 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.

CanvasJS mentions (11)

  • Smarter Axis Label Formatting Based on Zoom Level in CanvasJS
    When building time-series charts, how you format axis labels can make or break readability — especially when users zoom across seconds to years. CanvasJS provides excellent out-of-the-box support for time-based axis labels, but when working with sub-minute or sub-hour data (e.g., sensor readings, real-time dashboards), the default behavior might not always deliver the best readability. This guide shows how to... - Source: dev.to / about 2 months ago
  • Dynamic Highlighting of Weekends in CanvasJS Charts
    Visualizing time-series data - such as financial charts, project timelines, or event trackers - often requires contextual markers like weekends or holidays to improve insights. CanvasJS charts offer the flexibility to dynamically highlight specific date ranges using stripLines. - Source: dev.to / about 2 months ago
  • Integrating CanvasJS Charts in Salesforce Lightning Aura Component
    Visualizing data within Salesforce enhances user engagement and decision-making. A recent study showed that dashboards with interactive charts increase user adoption by 70%. This article guides you through seamlessly integrating CanvasJS charts into your Lightning Aura components for impactful data representation. - Source: dev.to / 5 months ago
  • Display Chart in Express.js App using CanvasJS
    Download the CanvasJS library from CanvasJS's official website. - Source: dev.to / 5 months ago
  • Integrating WebDataRocks and CanvasJS for Interactive Data Visualization
    In modern web applications, data analysis and visualization play a crucial role in delivering insights. While pivot tables allow users to explore and manipulate data interactively, charts make it easier to understand trends and patterns at a glance. WebDataRocks, a JavaScript pivot table library, and CanvasJS, a versatile charting library, can be seamlessly integrated to combine the best of data exploration and... - Source: dev.to / 6 months ago
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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 CanvasJS and Bokeh, you can also consider the following products

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

Plotly - Low-Code Data Apps

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.

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

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

NVD3 - This project is an attempt to build re-usable charts and chart components for d3.