Bokeh VS Highcharts

Compare Bokeh VS Highcharts and see what are their differences

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Bokeh

Bokeh visualization library, documentation site.

Highcharts

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

Landing page //
2022-11-01

Landing page //
2023-03-16

"Bokeh" - Netflix Film Review

Highcharts videos

+ Add

Angular 2 & HighCharts Quick-Tip: Dynamic Data & Draggable Points (2016)

Category Popularity

0-100% (relative to Bokeh and Highcharts)

Highcharts

Charting Libraries

20 20%

Charting Libraries

80% 80

Data Visualization

14 14%

Data Visualization

86% 86

Data Dashboard

12 12%

Data Dashboard

88% 88

Development

100 100%

Development

0% 0

User comments

Share your experience with using Bokeh and Highcharts. 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 Bokeh and Highcharts

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

Highcharts Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023

However, you might need to pay for additional packages to get exactly what you’re looking for. The Highcharts Core package includes all the essentials (like line, bar, area, and pie charts) but Maps, Gantt, and Stock chart packages are all extra. In terms of cost, this makes Highcharts somewhat less scalable, depending on the budget available for your project.

Source: embeddable.com

15 JavaScript Libraries for Creating Beautiful Charts

Highcharts is another very popular library for building graphs. It comes loaded with many different types of cool animations that are sufficient to attract many eyeballs to your website. Just like other libraries, Highcharts comes with many pre-built graphs like spline, area, areaspline, column, bar, pie, scatter, etc. The charts are responsive and mobile-ready. Besides,...

Source: www.sitepoint.com

Best Data Visualization Tools

For companies that want to embed interactive visualizations in their online content, look no further than Datawrapper. Highcharts is another great option for embedding interactive content into your sites, though it’s not as easy for non-specialists as Datawrapper.

Source: neilpatel.com

Top 10 JavaScript Charting Libraries for Every Data Visualization Need

Highcharts is one of the most comprehensive and popular JavaScript charting libraries based on HTML5, rendering in SVG/VML. It is lightweight, supports a wide range of diverse chart types, and ensures high performance.

Source: hackernoon.com

The Best Data Visualization Tools - Top 30 BI Software

Highcharts is a battle-tested SVG-based, multi-platform charting library that has been actively developed since 2009. Its JavaScript API integrates easily, and features robust documentation, advanced responsiveness and industry-leading accessibility support. You can add interactive, mobile-optimized charts to your web and mobile projects. Charts are rendered in SVG and a VML...

Source: improvado.io

Social recommendations and mentions

Based on our record, Bokeh seems to be more popular. 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.

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 / over 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