To celebrate the end of life of Python 2 on 1st January 2020, here’s some statistics showing how much different Python versions have been used over four years.
Here’s the pip installs for all packages from the Python Package Index (PyPI), between January 2016 and December 2019:
pip
The package installer
six
Python 2 and 3 compatibility library
NumPy
Scientific computing library
pytest
Testing framework
pandas
Data analysis toolkit
Coverage.py
Code coverage testing
Pillow
Imaging library
Django
Web framework
Matplotlib
2D plotting library
Flake8
Linter
Pylint
Linter
TensorFlow
Machine learning library
pylast
Interface to Last.fm
How
Statistics were collected using pypi-trends.py, a wrapper around pypinfo and pypistats to fetch all monthly downloads from the PyPI database on Google BigQuery and save them as JSON files. Data was downloaded over several days as getting all months uses up a lot of free BigQuery quota. Then jsons2csv.py plots a chart using matplotlib. Raw JSON data is in the repo.
See also
- Data Driven Decisions Using PyPI Download Statistics
- Python version share over time, 1 (January 2016 — June 2018)
- Python version share over time, 2 (January 2016 — October 2018)
- Python version share over time, 3 (January 2016 — December 2018)
- Python version share over time, 4 (January 2016 — March 2019)
Python version share over time, 5 (January 2016 — October 2019)
PyPI Stats: See package download data for the past 180 days, without needing to sign up for BigQuery
pypistats: A command-line tool to access data from PyPI Stats
Oldest comments (2)
It has been a year since this update! Waiting for a new one! :)
Thanks for the interesting insights!
FYI you can see a live dashboard of the current patterns at pypistats.org/packages/__all__.