Bokeh VS particles.js

Compare Bokeh VS particles.js and see what are their differences

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Contents:

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Bokeh

Bokeh visualization library, documentation site.

particles.js

A lightweight JavaScript library for creating particles.

Landing page //
2022-11-01

Landing page //
2023-09-13

"Bokeh" - Netflix Film Review

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Category Popularity

0-100% (relative to Bokeh and particles.js)

particles.js

Charting Libraries

100 100%

Charting Libraries

0% 0

Javascript UI Libraries

0 0%

Javascript UI Libraries

100% 100

Data Visualization

100 100%

Data Visualization

0% 0

Development

35 35%

Development

65% 65

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 particles.js

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

particles.js Reviews

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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