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bokeh python

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10 reviews
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4.2
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bokeh python Reviews

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DG
Dan G.
03/05/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data science at it's finest

Bokeh is a phenomenal visualization library in Python. As a data scientist, you're constantly looking for ways to express data in more understandable manner and Bokeh lets you do just that.
Clare S.
CS
Clare S.
Research and Instrumentation Analyst II at Space Telescope Science Institute
03/05/2019
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Verified Current User
Review source: Seller invite

Love using bokeh for interactive plots

I like how there are a several pre made interactive plot templates that allow you to generate interactive plots in one line of code, but that there is also room for customization beyond that. It's pretty easy to get started with bokeh to make simple yet useful interactive plots and web pages.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
03/04/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data visualization library

Bokeh allows me and my team to visualize data and information in a way that previously wasnt possible with the cluncky BI tools that we used to use. I think what I love best about bokeh is how easy it is to install and use because it's open source.

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What is bokeh python?

Bokeh is an interactive visualization library in Python designed to enable the creation of sophisticated and interactive plots and dashboards. It provides an accessible way for developers to create visual presentations that can be easily embedded into web-based applications. Bokeh focuses on providing high-performance visualizations by converting data into a JavaScript format that allows for seamless interaction and dynamic updates in the browser. It supports a wide range of chart types and layouts, and it integrates well with popular data analysis tools such as Pandas and Jupyter Notebooks.

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pypi.org