Skip to main content

Python interface to PyPI Stats API https://pypistats.org/api

Project description

pypistats

PyPI version Supported Python versions PyPI downloads Travis CI status Azure Pipelines status GitHub Actions status codecov GitHub Code style: Black

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"))

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypistats-0.9.0.tar.gz (13.5 kB view details)

Uploaded Source

Built Distribution

pypistats-0.9.0-py2.py3-none-any.whl (10.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pypistats-0.9.0.tar.gz.

File metadata

  • Download URL: pypistats-0.9.0.tar.gz
  • Upload date:
  • Size: 13.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.8.0

File hashes

Hashes for pypistats-0.9.0.tar.gz
Algorithm Hash digest
SHA256 f82f1d0202f9f0827ee8ae8f8a6d9ff26ccca36ac1cfecceacdf17f355ee97ee
MD5 4dde500b6881c19869840b45618c5943
BLAKE2b-256 e3c4a71af6fa6a440e81604b2beaa16a3ea014beff091fe6be8894265d114475

See more details on using hashes here.

Provenance

File details

Details for the file pypistats-0.9.0-py2.py3-none-any.whl.

File metadata

  • Download URL: pypistats-0.9.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.8.0

File hashes

Hashes for pypistats-0.9.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 090ce03caa79153a47f37525ffed5b7f06dc16d58d91dc9cf6d62d194b0962d5
MD5 d8f4b2370ab3bdfd12b2176dead5f24f
BLAKE2b-256 c3b35060300058603feb296838edcc47a458f0f752dac7e05aa422e58d82f286

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page