pypinfo: View PyPI download statistics with ease.

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

Table of contents

Usage
Installation
Credits

Usage

Click to unfold 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 INTEGER        Maximum number of query results. Default: 10
    -d, --days INTEGER         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

Downloads for a given version

pypinfo supports PEP 440 version matching.

We can use it to query stats on a given major version.

$ pypinfo -pc 'pip==21.*' pyversion version
Served from cache: False
Data processed: 34.45 MiB
Data billed: 35.00 MiB
Estimated cost: $0.01

| python_version | version | percent | download_count |
| -------------- | ------- | ------- | -------------- |
| 3.6            | 21.3.1  |  78.74% |         10,430 |
| 3.8            | 21.3.1  |   7.81% |          1,034 |
| 3.7            | 21.2.1  |   3.59% |            476 |
| 3.7            | 21.3.1  |   2.60% |            345 |
| 3.7            | 21.0.1  |   2.25% |            298 |
| 3.8            | 21.0.1  |   1.58% |            209 |
| 3.8            | 21.2.1  |   1.42% |            188 |
| 3.7            | 21.1.2  |   0.81% |            107 |
| 3.9            | 21.3.1  |   0.69% |             92 |
| 3.8            | 21.1.1  |   0.51% |             67 |
| Total          |         |         |         13,246 |

We can also use it to query stats on an exact version:

$ pypinfo -pc 'numpy==1.23rc3' pyversion version
Served from cache: False
Data processed: 34.01 MiB
Data billed: 35.00 MiB
Estimated cost: $0.01

| python_version | version   | percent | download_count |
| -------------- | --------- | ------- | -------------- |
| 3.9            | 1.23.0rc3 |  63.33% |             38 |
| 3.8            | 1.23.0rc3 |  28.33% |             17 |
| 3.10           | 1.23.0rc3 |   8.33% |              5 |
| Total          |           |         |             60 |

Check how many downloads came from continuous integration servers:

❯ pypinfo --percent --days 5 pillow ci
Served from cache: False
Data processed: 384.22 MiB
Data billed: 385.00 MiB
Estimated cost: $0.01

| ci    | percent | download_count |
| ----- | ------- | -------------- |
| None  |  79.37% |     11,963,127 |
| True  |  20.63% |      3,109,931 |
| Total |         |     15,073,058 |

Installation

Click to unfold installation

pypinfo is distributed on PyPI as a universal wheel and is available on Linux/macOS and Windows and supports Python 3.7+.

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.
Sign in on your account if you are not already;
Go to https://console.developers.google.com/cloud-resource-manager and click CREATE PROJECT if you don't already have one:

create

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:

click

A while after creation, at the left-top corner, select the project name of your choice on dropdown component AND at the left-top corner "Navigation Menu", select option "Cloud Overview > Dashboard":

show

Enable BigQuery API

Click on top-left button "Navigation Menu" and click on option "API and services > Library":

api_library

Perform a search with keywords "big query api" on available text field:

big_query_api_search

Enable Big Query API by button "Enable" press:

big_query_api

After enabling, click CREATE CREDENTIALS:

credentials

Note: You will be requested to go back to Big Query panel. In this case, click on top-left button "Navigation Menu", option "API and services > Enabled APIs and services" and on consequent page, on item "Big Query API":

enabled_credentials

On the page after clicking the "CREATE CREDENTIALS" button, choose "BigQuery API", "Application Data" and "No, I'm not using them":

credentials_page_1

Fill account details and press button "Create and Continue":

credentials_page_2

Select role "BigQuery User" (option path "BigQuery > Big Query User"), press button "Done":

credentials_page_3

On Big Query API panel (See Note on item 10), click on tab "CREDENTIALS". On section "Service accounts", click on created credentials on items 11, 12 and 13.

create_service_credential_key

On page from credential click, click on tab "KEYS". On dropdown menu "ADD KEY", click on option "Create new key":

create_credential_key

On appearing box, click on option "JSON" and press button "CREATE": This will start the download of credentials on a JSON file with name pattern {name}-{credentials_hash}.json:

create_private_key

Installation and authentication

Run python -m pip install pypinfo in the terminal.
pypinfo --auth path/to/your_credentials.json, or set an environment variable GOOGLE_APPLICATION_CREDENTIALS that points to the file.

Credits

Donald Stufft for maintaining PyPI all these years;
Google for donating BigQuery capacity to PyPI;
Paul Kehrer for his awesome blog post.

Dependency	Optional
binary	false
click	false
google-cloud-bigquery	false
packaging	false
platformdirs	false
tinydb	false
tinyrecord	false

Package profile

pypinfo

Releases

Release table

PyPI Downloads

Dependencies

Details

Project URLs

Dependencies

Package description