Most popular python packages in November 2019

I want to start to promote new and exciting python packages. To do so, I started this series of posts about the most popular Python packages of the previous month.

The idea is to select all the packages that had over one thousand downloads in the past two months and in the previous month experienced a significant increase in downloads.

Here is the list of this month:

  1. seleniumbase is a library that combines Selenium Webdriver and pytest with the result of doing end to end tests, web automation, and website tours.
  2. pyhull is a Python wrapper to Qhull for the computation of the convex hull, Delaunay triangulation, and Voronoi diagram.
  3. protego is a pure-Python robots.txt parser with support for modern conventions.
  4. cupy-cuda100 is an implementation of NumPy-compatible multi-dimensional array on CUDA.
  5. sigopt is a standardized, scalable, enterprise-grade optimization platform and API designed to unlock the potential of your modeling pipelines.
  6. readerwriterlock is a python implementation of the three Reader-Writer problems. It is also compliant with the Python lock interface.
  7. manhole is an in-process service that accepts Unix domain socket connections and presents the stacktraces for all threads and an interactive prompt.
  8. scikit-build is an improved build system generator for CPython C, C++, Cython, and Fortran extensions.
  9. bok-choy is a Python framework for writing robust Selenium tests.
  10. pymeeus is a Python implementation of Jean Meeus astronomical routines

Here is the full data:

name d. october d. november increase
seleniumbase 52,478 848,859 0.884
pyhull 10,250 119,192 0.842
protego 11,427 115,009 0.819
cupy-cuda100 19,551 185,499 0.809
sigopt 16,359 124,764 0.768
readerwriterlock 19,604 128,759 0.736
manhole 19,803 126,763 0.730
scikit-build 22,141 137,848 0.723
bok-choy 10,472 59,126 0.699
pymeeus 72,664 400,360 0.693

And here is the query that that I executed:

select, as "d. october", as "d. november",
 round(( - +, 3) as increase
 november_downloads nd
join october_downloads od on
 od."name" = nd."name"
where > 10000
order by
 ( - + desc
limit 10