Studying Python release adoptions by looking at PyPI downloads
Go to file
Julien Palard 3fbdb24005
Update graphs.
2023-01-11 16:38:45 +01:00
README.md Bump data. 2022-01-01 21:28:20 +01:00
python-versions-pct.png Update graphs. 2023-01-11 16:38:45 +01:00
python-versions.png Update graphs. 2023-01-11 16:38:45 +01:00
python-versions.py sys imported by unused. 2022-11-04 14:33:26 +01:00
python-versions.sqlite Added two months but I miss [2022-10-01; 2022-11-01] (Big Query quota exceeded). 2023-01-11 15:54:14 +01:00
requirements.txt Bump data. 2022-09-02 21:36:42 +02:00

README.md

Analysis of version adoptions on PyPI

We get publicly available PyPI download statistics on Google BigQuery using pypinfo.

Here is the repo for the open-source code pushing the pypi stats to BigQuery.

Usage

First you need to get an access to PyPI's BigQuery, by following pypinfo procedure.

Then there's two main invocations, first fetch the data using:

python python-versions.py --fetch

Then plot it using:

python python-versions.py

Data

Percentage of pypi.org downloads

Number of pypi.org downloads