Based on our record, Seaborn should be more popular than Bokeh. It has been mentiond 32 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.
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 / over 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
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful. I see these products as tools for data visualization and reporting i.e. Presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics. I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my... - Source: Hacker News / 2 months ago
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib). - Source: Hacker News / 2 months ago
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time. https://seaborn.pydata.org/. - Source: Hacker News / 2 months ago
Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics. - Source: dev.to / 2 months ago
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts. Source: 10 months ago
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