View PyPI download statistics with ease.
Project description
pypinfo is a simple CLI to access PyPI download statistics via Google’s BigQuery.
Installation
pypinfo is distributed on PyPI as a universal wheel and is available on Linux/macOS and Windows and supports Python 3.5+ and PyPy.
This is relatively painless, I swear.
Sign up if you haven’t already. The first TB of queried data each month is free. Each additional TB is $5.
Go to https://console.developers.google.com/cloud-resource-manager and create a new project if you don’t already have one. Any name is fine, but I recommend you choose something to do with PyPI like pypinfo. This way you know what the project is designated for.
Go to https://console.cloud.google.com/apis/api/bigquery-json.googleapis.com/overview and make sure the correct project is chosen using the drop-down on top. Click the button on top to enable.
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. (If BigQuery is not an option in the list, wait 15-20 minutes and try creating the credentials again.) 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:
-a, --auth TEXT Path to Google credentials JSON file.
--run / --test --test simply prints the query.
-j, --json Print data as JSON, with keys `rows` and `query`.
-i, --indent INTEGER JSON indentation level.
-t, --timeout INTEGER Milliseconds. Default: 120000 (2 minutes)
-l, --limit TEXT Maximum number of query results. Default: 10
-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
-p, --pip Only show installs by pip.
-pc, --percent Print percentages.
-md, --markdown Output as Markdown.
--version Show the version and exit.
--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
Served from cache: False
Data processed: 6.87 GiB
Data billed: 6.87 GiB
Estimated cost: $0.04
| download_count |
| -------------- |
| 9,316,415 |All downloads
$ pypinfo ""
Served from cache: False
Data processed: 0.00 B
Data billed: 0.00 B
Estimated cost: $0.00
| download_count |
| -------------- |
| 661,224,259 |Downloads for a project by Python version
$ pypinfo django pyversion
Served from cache: False
Data processed: 10.81 GiB
Data billed: 10.81 GiB
Estimated cost: $0.06
| python_version | download_count |
| -------------- | -------------- |
| 3.5 | 539,194 |
| 2.7 | 495,207 |
| 3.6 | 310,750 |
| None | 84,524 |
| 3.4 | 64,621 |
| 3.7 | 3,022 |
| 2.6 | 2,966 |
| 3.3 | 1,638 |
| 1.17 | 285 |
| 3.2 | 188 |
| 3.1 | 4 |
| 2.5 | 3 |All downloads by country code
$ pypinfo "" country
Served from cache: False
Data processed: 2.40 GiB
Data billed: 2.40 GiB
Estimated cost: $0.02
| country | download_count |
| ------- | -------------- |
| US | 420,722,571 |
| CN | 27,235,750 |
| IE | 24,011,857 |
| DE | 19,112,463 |
| GB | 18,485,428 |
| FR | 17,394,541 |
| None | 15,867,055 |
| JP | 12,381,087 |
| CA | 11,666,733 |
| KR | 10,239,761 |
| AU | 9,573,248 |
| SG | 8,500,881 |
| IN | 8,467,755 |
| RU | 6,243,255 |
| NL | 6,096,337 |
| BR | 5,992,892 |
| IL | 4,924,533 |
| PL | 2,902,368 |
| HK | 2,873,318 |
| SE | 2,604,146 |Downloads for a project by system and distribution
$ pypinfo cryptography system distro
Served from cache: False
Data processed: 14.75 GiB
Data billed: 14.75 GiB
Estimated cost: $0.08
| system_name | distro_name | download_count |
| ----------- | ------------------------------- | -------------- |
| Linux | Ubuntu | 1,314,938 |
| Linux | Debian GNU/Linux | 381,857 |
| Linux | None | 359,993 |
| Linux | CentOS Linux | 210,950 |
| Linux | Amazon Linux AMI | 198,807 |
| None | None | 179,950 |
| Windows | None | 176,495 |
| Darwin | macOS | 75,030 |
| Linux | Alpine Linux | 66,296 |
| Linux | CentOS | 62,812 |
| Linux | Red Hat Enterprise Linux Server | 47,030 |
| Linux | debian | 33,601 |
| Linux | Raspbian GNU/Linux | 29,467 |
| Linux | Fedora | 20,112 |
| Linux | openSUSE Leap | 11,549 |
| Darwin | OS X | 6,970 |
| Linux | Linux | 6,894 |
| Linux | Virtuozzo | 6,611 |
| FreeBSD | None | 5,898 |
| Linux | RedHatEnterpriseServer | 4,415 |Most popular projects in the past year
$ pypinfo --days 365 "" project
Served from cache: False
Data processed: 87.84 GiB
Data billed: 87.84 GiB
Estimated cost: $0.43
| project | download_count |
| --------------- | -------------- |
| simplejson | 267,459,163 |
| six | 213,697,561 |
| setuptools | 164,144,954 |
| botocore | 162,843,025 |
| python-dateutil | 159,786,908 |
| pip | 155,164,096 |
| pyasn1 | 142,647,378 |
| requests | 141,811,313 |
| docutils | 136,073,108 |
| pyyaml | 127,183,654 |
| jmespath | 126,997,657 |
| s3transfer | 123,275,444 |
| futures | 121,993,875 |
| awscli | 119,512,669 |
| rsa | 112,884,251 |
| colorama | 107,995,099 |
| idna | 79,363,400 |
| wheel | 79,098,241 |
| selenium | 72,291,821 |
| awscli-cwlogs | 69,708,863 |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 100Credits
Donald Stufft for maintaining PyPI all these years.
Paul Kehrer for his awesome blog post.
Changelog
Important changes are emphasized.
12.0.0
Breaking: JSON output is now a mapping with keys rows, which is all the data that was previously outputted, and query, which is relevant metadata.
Increased the resolution of percentages.
11.0.0
Fixed JSON output.
10.0.0
Fixed custom field ordering.
9.0.0
Added new BigQuery usage stats.
Lowered the default number of results to 10 from 20.
Updated examples.
Fixed table formatting regression.
8.0.0
Updated google-cloud-bigquery dependency.
7.0.0
Output table is now in Markdown format for easy copying to GitHub issues and PRs.
6.0.0
Updated google-cloud-bigquery dependency.
5.0.0
4.0.0
--order now works with all fields (thanks Brian Skinn)
Updated installation docs (thanks Brian Skinn)
3.0.1
Fix: project names are now normalized to adhere to PEP 503.
3.0.0
Breaking: --json option is now just a flag and prints output as prettified JSON.
2.0.0
Added --json path option.
1.0.0
Initial release
Release history Release notifications | RSS feed
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