View PyPI download statistics with ease.
Project description
pypinfo is a simple CLI to access PyPI download statistics via Google’s BigQuery.
Installation
This is relatively painless, I swear.
Sign up if you haven’t already. Querying PyPI’s dataset is free (for you).
Go to https://console.developers.google.com/cloud-resource-manager and create a new project. Any name is fine, but I recommend you choose something to do with PyPI like pypinfo. This way you know the project is designated as free.
Follow https://cloud.google.com/storage/docs/authentication#generating-a-private-key to create credentials in JSON format. During creation, choose BigQuery User as role. After creation, note the download location. Move the file wherever you want.
pip install pypinfo
pypinfo --auth path/to/your_credentials.json, or set an environment variable GOOGLE_APPLICATION_CREDENTIALS that points to the file.
Usage
$ pypinfo
Usage: pypinfo [OPTIONS] [PROJECT] [FIELDS]... COMMAND [ARGS]...
Valid fields are:
project | version | pyversion | percent3 | percent2 | impl | impl-version |
openssl | date | month | year | country | installer | installer-version |
setuptools-version | system | system-release | distro | distro-version | cpu
Options:
--run / --test --test simply prints the query.
-a, --auth TEXT Path to Google credentials JSON file.
-t, --timeout INTEGER Milliseconds. Default: 120000 (2 minutes)
-l, --limit TEXT Maximum number of query results. Default: 20
-d, --days TEXT Number of days in the past to include. Default: 30
-sd, --start-date TEXT Must be negative. Default: -31
-ed, --end-date TEXT Must be negative. Default: -1
-w, --where TEXT WHERE conditional. Default: file.project = "project"
-o, --order TEXT Field to order by. Default: download_count
--help Show this message and exit.pypinfo accepts 0 or more options, followed by exactly 1 project, followed by 0 or more fields. By default only the last 30 days are queried. Let’s take a look at some examples!
Tip: If queries are resulting in NoneType errors, increase timeout.
Downloads for a project
$ pypinfo requests
download_count
--------------
11033343All downloads
$ pypinfo ""
download_count
--------------
662834133Downloads for a project by Python version
$ pypinfo django pyversion
python_version download_count
-------------- --------------
2.7 788060
3.5 400008
3.6 169665
3.4 134378
None 59415
2.6 8276
3.3 4831
3.7 2680
3.2 1560
1.17 41
2.5 15
2.4 15
3.1 6All downloads by country code
$ pypinfo "" country
country download_count
------- --------------
US 427837633
None 26184466
IE 25595967
CN 19682726
DE 17338740
GB 16848703
AU 12201849
CA 9828255
FR 9780133
BR 9276365
JP 9247794
RU 8758959
IL 7578813
IN 7468363
KR 6809831
NL 6120287
SG 5882292
TW 3961899
CZ 2352650
PL 2270622Downloads for a project by system and distribution
$ pypinfo cryptography system distro
system_name distro_name download_count
----------- ------------------------------- --------------
Linux Ubuntu 1226983
Linux None 701829
Linux CentOS Linux 254488
Linux Debian GNU/Linux 207352
Linux debian 205485
Linux CentOS 195178
None None 179178
Windows None 126962
Darwin macOS 123389
Darwin OS X 51606
Linux Amazon Linux AMI 43192
Linux Red Hat Enterprise Linux Server 39157
Linux Alpine Linux 37721
Linux Fedora 25036
Linux Virtuozzo 10302
Linux Raspbian GNU/Linux 4261
Linux Linux 4162
Linux Oracle Linux Server 3754
FreeBSD None 3513
Linux Debian 3479Most popular projects in the past year
$ pypinfo --days 365 "" project
project download_count
--------------- --------------
simplejson 315759419
six 197395098
setuptools 132878072
python-dateutil 126256414
pip 118786872
botocore 115173253
pyasn1 111974599
requests 108922890
selenium 104830580
docutils 104397734
jmespath 95403328
awscli 94119214
rsa 91575245
colorama 85788062
awscli-cwlogs 57035580
futures 52305306
cffi 51895901
pyyaml 51475454
pbr 50267849
pyparsing 50155835Percentage of Python 3 downloads of the top 100 projects in the past year
Let’s use --test to only see the query instead of sending it.
$ pypinfo --test --days 365 --limit 100 "" project percent3
SELECT
file.project as project,
ROUND(100 * SUM(CASE WHEN REGEXP_EXTRACT(details.python, r"^([^\.]+)") = "3" THEN 1 ELSE 0 END) / COUNT(*), 1) as percent_3,
COUNT(*) as download_count,
FROM
TABLE_DATE_RANGE(
[the-psf:pypi.downloads],
DATE_ADD(CURRENT_TIMESTAMP(), -366, "day"),
DATE_ADD(CURRENT_TIMESTAMP(), -1, "day")
)
GROUP BY
project,
ORDER BY
download_count DESC
LIMIT 100Credits
Donald Stufft for maintaining PyPI all these years.
Paul Kehrer for his awesome blog post.
Release history Release notifications | RSS feed
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