ZingChart VS Bokeh
Compare ZingChart VS Bokeh and see what are their differences
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ZingChart
AnyChart
Highcharts
D3.js
ZoomCharts
Google Charts
Chart.js
FusionCharts
Bokeh
Plotly
RAWGraphs
D3.js
NVD3
Highcharts
CanvasJS
liveGap Charts
A pioneer in the world of data visualization, ZingChart is a powerful JavaScript library built with big data in mind. With more than 50 chart types and easy integration with your development stack, ZingChart allows you to create interactive and responsive charts with ease.
ZingChart BokehStraightforward JSON configuration, documentation & demos make it easy to get started with ZingChart without too much initial overhead, even for entry-level devs. For example, here's how to build an animated line chart in a minute.
For those looking for more advanced features, ZingChart's API lets devs create interactions, leverage and interact with the chart autonomously, and allows for the extension of chart types. There are quite a few API demos available upon which to base new interactivity or functionality.
Full disclosure: I work on the ZingSoft team, which includes ZingChart and ZingGrid 🖖🏽
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.
Visualization: https://docs.bokeh.org/en/latest/. Source: about 3 years ago
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
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
It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 4 years ago
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
AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.
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...
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.