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Bokeh VS ChartBlocks

Compare Bokeh VS ChartBlocks and see what are their differences

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Bokeh logo Bokeh

Bokeh visualization library, documentation site.

ChartBlocks logo ChartBlocks

Import data, design and share a chart in minutes. Or seconds via the API.
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • ChartBlocks Landing page
    Landing page //
    2022-09-14

Bokeh videos

+ Add

"Bokeh" - Netflix Film Review

More videos:

ChartBlocks videos

+ Add

How to Make a Bar Chart

Category Popularity

0-100% (relative to Bokeh and ChartBlocks)

Bokeh

ChartBlocks

Charting Libraries
48 48%
Charting Libraries
52% 52
Data Visualization
42 42%
Data Visualization
58% 58
Data Dashboard
37 37%
Data Dashboard
63% 63
Development
42 42%
Development
58% 58

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 ChartBlocks

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

ChartBlocks Reviews

A Complete Overview of the Best Data Visualization Tools
ChartBlocks claims that data can be imported from “anywhere” using their API, including from live feeds. While they say that importing data from any source can be done in “just a few clicks,” it’s bound to be more complex than other apps that have automated modules or extensions for specific data sources.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chartblocks is an easy-to-use chart building and publishing tool that allows you to build charts from data by importing it from spreadsheets and databases. Charts are created under the hood in HTML5 by using the powerful JavaScript library D3.js and your visualizations will be responsive and compatible with any screen size and device. You can also be able to embed your...
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

ChartBlocks mentions (0)

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

What are some alternatives?

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

Plotly - Low-Code Data Apps

ZoomCharts - Creating meaningful and aesthetically pleasing data visualizations and incorporating them into your projects is easy with the tools offered by ZoomCharts.

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.

Google Charts - Interactive charts for browsers and mobile devices.

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

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