pypistats

Python 3.6+ interface to PyPI Stats API to get aggregate download statistics on Python packages on the Python Package Index without having to execute queries directly against Google BigQuery.

Installation

From PyPI

pip install --upgrade pypistats

From source

git clone https://github.com/hugovk/pypistats
cd pypistats
pip install .

Example command-line use

Run pypistats with a subcommand (corresponding to PyPI Stats endpoints), then options for that subcommand.

Top-level help:

$ pypistats --help
usage: pypistats [-h] [-V]
                 {recent,overall,python_major,python_minor,system} ...

positional arguments:
  {recent,overall,python_major,python_minor,system}

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit

Help for a subcommand:

$ pypistats recent --help
usage: pypistats recent [-h] [-p {day,week,month}]
                        [-f {json,markdown,rst,html}] [-j] [-v]
                        package

Retrieve the aggregate download quantities for the last day/week/month

positional arguments:
  package

optional arguments:
  -h, --help            show this help message and exit
  -p {day,week,month}, --period {day,week,month}
  -f {json,markdown,rst,html}, --format {json,markdown,rst,html}
                        The format of output (default: markdown)
  -j, --json            Shortcut for "-f json" (default: False)
  -v, --verbose         Print debug messages to stderr (default: False)

Get recent downloads:

$ pypistats recent pillow
| last_day | last_month | last_week |
|---------:|-----------:|----------:|
|  280,842 |  7,065,928 | 1,709,689 |

Help for another subcommand:

$ pypistats python_minor --help
usage: pypistats python_minor [-h] [-V VERSION] [-f {json,markdown,rst,html}]
                              [-j] [-sd yyyy-mm[-dd]|name]
                              [-ed yyyy-mm[-dd]|name] [-m yyyy-mm|name] [-l]
                              [-t] [-d] [--monthly] [-v]
                              package

Retrieve the aggregate daily download time series by Python minor version
number

positional arguments:
  package

optional arguments:
  -h, --help            show this help message and exit
  -V VERSION, --version VERSION
                        eg. 2.7 or 3.6 (default: None)
  -f {json,markdown,rst,html}, --format {json,markdown,rst,html}
                        The format of output (default: markdown)
  -j, --json            Shortcut for "-f json" (default: False)
  -sd yyyy-mm[-dd]|name, --start-date yyyy-mm[-dd]|name
                        Start date (default: None)
  -ed yyyy-mm[-dd]|name, --end-date yyyy-mm[-dd]|name
                        End date (default: None)
  -m yyyy-mm|name, --month yyyy-mm|name
                        Shortcut for -sd & -ed for a single month (default:
                        None)
  -l, --last-month      Shortcut for -sd & -ed for last month (default: False)
  -t, --this-month      Shortcut for -sd for this month (default: False)
  -d, --daily           Show daily downloads (default: False)
  --monthly             Show monthly downloads (default: False)
  -v, --verbose         Print debug messages to stderr (default: False)

Get version downloads:

$ pypistats python_minor pillow --last-month
| category | percent | downloads |
|----------|--------:|----------:|
| 2.7      |  35.94% | 2,189,327 |
| 3.6      |  31.83% | 1,938,870 |
| 3.7      |  18.71% | 1,139,642 |
| 3.5      |  11.29% |   687,782 |
| 3.4      |   1.23% |    74,673 |
| null     |   0.94% |    57,476 |
| 3.8      |   0.04% |     2,147 |
| 2.6      |   0.01% |       826 |
| 3.3      |   0.00% |       212 |
| 3.2      |   0.00% |        28 |
| 2.4      |   0.00% |         6 |
| 3.9      |   0.00% |         5 |
| 2.8      |   0.00% |         1 |
| Total    |         | 6,090,995 |

The table is Markdown, ready for pasting in GitHub issues and PRs:

category	percent	downloads
2.7	35.94%	2,189,327
3.6	31.83%	1,938,870
3.7	18.71%	1,139,642
3.5	11.29%	687,782
3.4	1.23%	74,673
null	0.94%	57,476
3.8	0.04%	2,147
2.6	0.01%	826
3.3	0.00%	212
3.2	0.00%	28
2.4	0.00%	6
3.9	0.00%	5
2.8	0.00%	1
Total		6,090,995

These are equivalent (in May 2019):

pypistats python_major pip --last-month
pypistats python_major pip --month april
pypistats python_major pip --month apr
pypistats python_major pip --month 2019-04

And:

pypistats python_major pip --start-date december --end-date january
pypistats python_major pip --start-date dec      --end-date jan
pypistats python_major pip --start-date 2018-12  --end-date 2019-01

Example programmatic use

Return values are from the JSON responses documented in the API: https://pypistats.org/api/

import pypistats
from pprint import pprint

# Call the API
print(pypistats.recent("pillow"))
print(pypistats.recent("pillow", "day", format="markdown"))
print(pypistats.recent("pillow", "week", format="rst"))
print(pypistats.recent("pillow", "month", format="html"))
pprint(pypistats.recent("pillow", "week", format="json"))
print(pypistats.recent("pillow", "day"))

print(pypistats.overall("pillow"))
print(pypistats.overall("pillow", mirrors=True, format="markdown"))
print(pypistats.overall("pillow", mirrors=False, format="rst"))
print(pypistats.overall("pillow", mirrors=True, format="html"))
pprint(pypistats.overall("pillow", mirrors=False, format="json"))

print(pypistats.python_major("pillow"))
print(pypistats.python_major("pillow", version=2, format="markdown"))
print(pypistats.python_major("pillow", version=3, format="rst"))
print(pypistats.python_major("pillow", version="2", format="html"))
pprint(pypistats.python_major("pillow", version="3", format="json"))

print(pypistats.python_minor("pillow"))
print(pypistats.python_minor("pillow", version=2.7, format="markdown"))
print(pypistats.python_minor("pillow", version="2.7", format="rst"))
print(pypistats.python_minor("pillow", version=3.7, format="html"))
pprint(pypistats.python_minor("pillow", version="3.7", format="json"))

print(pypistats.system("pillow"))
print(pypistats.system("pillow", os="darwin", format="markdown"))
print(pypistats.system("pillow", os="linux", format="rst"))
print(pypistats.system("pillow", os="darwin", format="html"))
pprint(pypistats.system("pillow", os="linux", format="json"))

dinsaw / pypistats