CanvasJS
Chart.js
D3.js
Plotly
Highcharts
RAWGraphs
liveGap Charts
AnyChart
Bokeh
Plotly
D3.js
RAWGraphs
Highcharts
NVD3
Chart.js
Google Charts
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.
CanvasJS BokehNo CanvasJS videos yet. You could help us improve this page by suggesting one.
Based on our record, Bokeh should be more popular than CanvasJS. 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.
Android WebView is an android UI widget which is used to open any web URL or load html data. WebView is used to show web page in android activity. In simple words, Android WebView is a View that displays web pages. In this tutorial lets see how to add CanvasJS charts to android app. - Source: dev.to / over 1 year ago
And CanvasJS angular charts can be downloaded from their official site (npm package is not the official one) & save it in assets folder to import to the project. - Source: dev.to / over 1 year ago
Hope you learned some basics for creating chart in Flask App using CanvasJS. I will also bring few more tutorial in the series for creating advanced chart in flask app. So stay tuned for next tutorial. Also, check out CanvasJS for more examples on charts. Adios!!! - Source: dev.to / almost 2 years ago
Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 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 2 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 / about 2 years ago
It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 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 3 years ago
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.
