Actual, bokeh is about the quality of the blur. Yes, blur can have quality. If you simply removed everything that was not in focus, you lose context and texture about the subject. If you use a pinhole camera and present everything in sharp focus, you lose the insight.
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Photographers use the Japanese word “bokeh” to describe the blurring of the out-of-focus parts of an image. Its aesthetic quality can greatly enhance a photograph, and photographers artfully use focus to draw attention to subjects of interest. “Good bokeh” contributes visual interest to a photograph and places its subjects in context.
In this vein of focusing on high-impact subjects while always maintaining a relationship to the data background, the Bokeh project attempts to address fundamental challenges of large dataset visualization...
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>> Actual, bokeh is about the quality of the blur.
Yes, you're right. But most people tend to treat out-of-focus blur synonymously with bokeh (the quality of the blur) -- they're related but not the same. In this particular library's case, I think they're talking about out-of-focus blur, not bokeh.
This is actually mentioned in the documentation: http://bokeh.pydata.org/#technical-vision
""" Photographers use the Japanese word “bokeh” to describe the blurring of the out-of-focus parts of an image. Its aesthetic quality can greatly enhance a photograph, and photographers artfully use focus to draw attention to subjects of interest. “Good bokeh” contributes visual interest to a photograph and places its subjects in context.
In this vein of focusing on high-impact subjects while always maintaining a relationship to the data background, the Bokeh project attempts to address fundamental challenges of large dataset visualization... """