
Plotly
RAWGraphs
D3.js
NVD3
CanvasJS
ZingChart
ChartBlocks
Bokeh visualization library, documentation site.

Code Effects is the fastest and most intuitive .NET business rules engine trusted by government entities and Fortune 500 corporations all over the world

Which is more popular?
Based on our record, Bokeh seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | docs.bokeh.org | codeeffects.com |
| Pricing | — | |
| Company | — | 2009 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Bokeh yet.
Code Effects Software is the developer of state-of-the-art business rules engine that combines an incredible performance of rule evaluation with revolutionary web interface, allowing the end-users to author and manage their corporate business rules with no knowledge of programming languages or IT...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
"Bokeh" - Netflix Film Review
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Bokeh and Code Effects. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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...
We have no reviews of Code Effects yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Visualization: https://docs.bokeh.org/en/latest/. Source: over 4 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 / over 4 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... - Source: dev.to / over 4 years ago
Tracking Code Effects since Jan 2023.
When comparing Bokeh and Code Effects, you can also consider the following products.


RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Compare D3.js to Bokeh or Code Effects:

This project is an attempt to build re-usable charts and chart components for d3.
Compare NVD3 to Bokeh or Code Effects:

HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization
Compare CanvasJS to Bokeh or Code Effects:

ZingChart is a fast, modern, powerful JavaScript charting library for building animated, interactive charts and graphs. Bring on the big data!
Compare ZingChart to Bokeh or Code Effects: