Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers. With Bokeh, you can quickly and easily create interactive plots, dashboards, and data applications.
Customer Reviews
Clare S.
Advanced user of bokeh pythonI 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.
I've had some issues getting certain features to work that I've ended up just giving up on. There's a learning curve when trying to make very custom things, without a lot of documentation. It's also difficult to debug and requires learning some javascript, which is useful but increases the learning curve.
I'd recommend this package to users.
I use Bokeh to make interactive plots for my team at work to use. We use these to monitor the health of the scientific instrument we work on and it's useful to have these over static plots. The screen shot I attached it part of an interactive web page I made with bokeh that allows you to filter data from out instrument from a specific subset to display, and then to download a table.
