pypinfo: View PyPI download statistics with ease.

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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 3.6+.

This is relatively painless, I swear.

Create project

Go to https://bigquery.cloud.google.com.
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 click CREATE PROJECT if you don't already have one:
This takes you to https://console.developers.google.com/projectcreate. Fill out the form and click CREATE. 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:
The next page should show your new project. If not, reload the page and select from the top menu:

Enable BigQuery API

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 ENABLE button:
After enabling, click CREATE CREDENTIALS:
Choose the "BigQuery API" and "No, I'm not using them":
Fill in a name, and select role "BigQuery User" (if the "BigQuery" is not an option in the list, wait 15-20 minutes and try creating the credentials again), and select a JSON key:
Click continue and the JSON will download to your computer. 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 | file | pyversion | percent3 | percent2 | impl | impl-version |

  openssl | date | month | year | country | installer | installer-version |

  setuptools-version | system | system-release | distro | distro-version | cpu |

  libc | libc-version

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 or YYYY-MM[-DD]. Default: -31
  -ed, --end-date TEXT    Must be negative or YYYY-MM[-DD]. Default: -1
  -m, --month TEXT        Shortcut for -sd & -ed for a single YYYY-MM month.
  -w, --where TEXT        WHERE conditional. Default: file.project = "project"
  -o, --order TEXT        Field to order by. Default: download_count
  --all                   Show downloads by all installers, not only pip.
  -pc, --percent          Print percentages.
  -md, --markdown         Output as Markdown.
  -v, --verbose           Print debug messages to stderr.
  --version               Show the version and exit.
  -h, --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: 2.83 GiB
Data billed: 2.83 GiB
Estimated cost: $0.02

| download_count |
| -------------- |
|    116,353,535 |

All downloads

$ pypinfo ""
Served from cache: False
Data processed: 116.15 GiB
Data billed: 116.15 GiB
Estimated cost: $0.57

| download_count |
| -------------- |
|  8,642,447,168 |

Downloads for a project by Python version

$ pypinfo django pyversion
Served from cache: False
Data processed: 967.33 MiB
Data billed: 968.00 MiB
Estimated cost: $0.01

| python_version | download_count |
| -------------- | -------------- |
| 3.8            |      1,735,967 |
| 3.6            |      1,654,871 |
| 3.7            |      1,326,423 |
| 2.7            |        876,621 |
| 3.9            |        524,570 |
| 3.5            |        258,609 |
| 3.4            |         12,769 |
| 3.10           |          3,050 |
| 3.3            |            225 |
| 2.6            |            158 |
| Total          |      6,393,263 |

All downloads by country code

$ pypinfo "" country
Served from cache: False
Data processed: 150.40 GiB
Data billed: 150.40 GiB
Estimated cost: $0.74

| country | download_count |
| ------- | -------------- |
| US      |  6,614,473,568 |
| IE      |    336,037,059 |
| IN      |    192,914,402 |
| DE      |    186,968,946 |
| NL      |    182,691,755 |
| None    |    141,753,357 |
| BE      |    111,234,463 |
| GB      |    109,539,219 |
| SG      |    106,375,274 |
| FR      |     86,036,896 |
| Total   |  8,068,024,939 |

Downloads for a project by system and distribution

$ pypinfo cryptography system distro
Served from cache: False
Data processed: 2.52 GiB
Data billed: 2.52 GiB
Estimated cost: $0.02

| system_name | distro_name                     | download_count |
| ----------- | ------------------------------- | -------------- |
| Linux       | Ubuntu                          |     19,524,538 |
| Linux       | Debian GNU/Linux                |     11,662,104 |
| Linux       | Alpine Linux                    |      3,105,553 |
| Linux       | Amazon Linux AMI                |      2,427,975 |
| Linux       | Amazon Linux                    |      2,374,869 |
| Linux       | CentOS Linux                    |      1,955,181 |
| Windows     | None                            |      1,522,069 |
| Linux       | CentOS                          |        568,370 |
| Darwin      | macOS                           |        489,859 |
| Linux       | Red Hat Enterprise Linux Server |        296,858 |
| Total       |                                 |     43,927,376 |

Most popular projects in the past year

$ pypinfo --days 365 "" project
Served from cache: False
Data processed: 1.69 TiB
Data billed: 1.69 TiB
Estimated cost: $8.45

| project         | download_count |
| --------------- | -------------- |
| urllib3         |  1,382,528,406 |
| six             |  1,172,798,441 |
| botocore        |  1,053,169,690 |
| requests        |    995,387,353 |
| setuptools      |    992,794,567 |
| certifi         |    948,518,394 |
| python-dateutil |    934,709,454 |
| idna            |    929,781,443 |
| s3transfer      |    877,565,186 |
| chardet         |    854,744,674 |
| Total           | 10,141,997,608 |

Downloads between two YYYY-MM-DD dates

$ pypinfo --start-date 2018-04-01 --end-date 2018-04-30 setuptools
Served from cache: False
Data processed: 571.37 MiB
Data billed: 572.00 MiB
Estimated cost: $0.01

| download_count |
| -------------- |
|      8,972,826 |

Downloads between two YYYY-MM dates

A yyyy-mm --start-date defaults to the first day of the month
A yyyy-mm --end-date defaults to the last day of the month

$ pypinfo --start-date 2018-04 --end-date 2018-04 setuptools
Served from cache: False
Data processed: 571.37 MiB
Data billed: 572.00 MiB
Estimated cost: $0.01

| download_count |
| -------------- |
|      8,972,826 |

Downloads for a single YYYY-MM month

$ pypinfo --month 2018-04 setuptools
Served from cache: False
Data processed: 571.37 MiB
Data billed: 572.00 MiB
Estimated cost: $0.01

| download_count |
| -------------- |
|      8,972,826 |

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 `bigquery-public-data.pypi.file_downloads`
WHERE timestamp BETWEEN TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL -366 DAY) AND TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL -1 DAY)
  AND details.installer.name = "pip"
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.

Changelog

Important changes are emphasized.

Unreleased

19.0.0

Update dataset to the new Google-hosted location

18.0.1

Fix usage of date ranges

18.0.0

Use the clustered data table and standard SQL for lower query costs

17.0.0

Add support for libc & libc-version fields

16.0.2

Update TinyDB and Tinyrecord dependencies for compatibility

16.0.1

Pin TinyDB<4, Tinyrecord does not yet support TinyDB v4

16.0.0

Allow yyyy-mm[-dd] --start-date and --end-date:
- A yyyy-mm --start-date defaults to the first day of the month
- A yyyy-mm --end-date defaults to the last day of the month
Add --month as a shortcut to --start-date and --end-date for a single yyyy-mm month
Add --verbose option to print credentials location
Update installation instructions
Enforce black code style

15.0.0

Allow yyyy-mm-dd dates
Add --all option, default to only showing downloads via pip
Add download total row

14.0.0

Added new file field!

13.0.0

Added last_update JSON key, which is a UTC timestamp.

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

Numeric output (non-json) is now prettier (thanks hugovk)
You can now filter results for only pip installs with the --pip flag (thanks hugovk)

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

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

Related tags

Overview

pypinfo: View PyPI download statistics with ease.

Installation

Usage

Downloads for a project

All downloads

Downloads for a project by Python version

All downloads by country code

Downloads for a project by system and distribution

Most popular projects in the past year

Downloads between two YYYY-MM-DD dates

Downloads between two YYYY-MM dates

Downloads for a single YYYY-MM month

Percentage of Python 3 downloads of the top 100 projects in the past year

Credits

Changelog

Unreleased

19.0.0

18.0.1

18.0.0

17.0.0

16.0.2

16.0.1

16.0.0

15.0.0

14.0.0

13.0.0

12.0.0

11.0.0

10.0.0

9.0.0

8.0.0

7.0.0

6.0.0

5.0.0

4.0.0

3.0.1

3.0.0

2.0.0

1.0.0

Owner

Ofek Lev

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