pypinfo 1.0.0

View PyPI download statistics with ease.

---

pypinfo is a simple CLI to access PyPI download statistics via Google’s BigQuery.

Installation

This is relatively painless, I swear.

1. Go to https://bigquery.cloud.google.com.

2. Sign up if you haven’t already. Querying PyPI’s dataset is free (for you).

3. 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.

4. 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.

5. pip install pypinfo

6. 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
--------------
11033343

All downloads

$ pypinfo ""
download_count
--------------
662834133

Downloads 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            6

All 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      2270622

Downloads 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                          3479

Most 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       50155835

Percentage 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 100

Credits

• Donald Stufft for maintaining PyPI all these years.

• Google for donating BigQuery capacity to PyPI.

• Paul Kehrer for his awesome blog post.