bokeh python

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Verified User in Computer Software
UC
Research and Instrumentation Analyst
Computer Software
Mid-Market (51-1000 emp.)
5/5

Having used the product for interactive plotting, this reviewer appreciates the availability of numerous pre-made templates that simplify the creation of interactive plots. There is a learning curve when attempting to implement more complex features, compounded by limited documentation.

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DG
Dan G.
Analyst, TechnologySmall-Business (50 or fewer emp.)
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.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
Enterprise (> 1000 emp.)
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 wasn't possible with the clunky 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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