Why Bokeh has became popular in February?

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Was exploring package popularity on pypi and noticed that last month Bokeh had quite an increase in number of downloads, just curious if there is could be a reason for that.

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It is still lagging behind other major plotting libraries, but last month numbers look promising.

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Some possibilities:

  • a new popular project added Bokeh as a dependency
  • an old project with Bokeh as a dependency suddenly became more popular
  • some notebooks on Binder that use Bokeh suddenly became popular
  • a MOOC that requires using Bokeh just went live
  • a large company with centralized environment management added Bokeh to their setup
  • dev velocity on a project that includes Bokeh jumped, increasing CI use
  • PyPI made some change in their reporting methods

And many others I am sure I can’t think of of the top of my head.

Download numbers can be impacted in many ways, so they have to be taken with a fairly large grain of salt. [1] I definitely don’t pay them as much attention as I used to, except when they need to go into a grant proposal, etc.

  1. And BTW the numbers above completely omit conda download numbers, which are significant, and also does not consider CDN loads which are a different metric of adoption (“viewers” vs “use”). ↩︎

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Thanks, Bryan for the detailed answer here and all other support you are providing elsewhere, indeed there are a lot of possible reasons, but I hope it will get deserved popularity some day.

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