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Bokeh VS Frappé Charts

Compare Bokeh VS Frappé Charts and see what are their differences

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  2. » Videos
  3. » Reviews
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Bokeh logo Bokeh

Bokeh visualization library, documentation site.

Frappé Charts logo Frappé Charts

Simple, fast charting library with zero dependencies.
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • Frappé Charts Landing page
    Landing page //
    2023-08-03

Bokeh videos

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"Bokeh" - Netflix Film Review

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Frappé Charts videos

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Category Popularity

0-100% (relative to Bokeh and Frappé Charts)

Bokeh

Frappé Charts

Charting Libraries
82 82%
Charting Libraries
18% 18
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Data Visualization
81 81%
Data Visualization
19% 19
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

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Reviews

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

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

Frappé Charts Reviews

We have no reviews of Frappé Charts yet.
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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

Frappé Charts mentions (0)

We have not tracked any mentions of Frappé Charts yet. Tracking of Frappé Charts recommendations started around Mar 2021.

What are some alternatives?

When comparing Bokeh and Frappé Charts, you can also consider the following products

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.

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

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

Chartist.js - Chartist.JS - simple responsive charts.

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

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