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

Overview

pypinfo: View PyPI download statistics with ease.

https://img.shields.io/pypi/v/pypinfo.svg?style=flat-square https://img.shields.io/pypi/pyversions/pypinfo.svg?style=flat-square https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square

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

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

  2. Sign up if you haven't already. The first TB of queried data each month is free. Each additional TB is $5.

  3. Go to https://console.developers.google.com/cloud-resource-manager and click CREATE PROJECT if you don't already have one:

    https://user-images.githubusercontent.com/1324225/47172949-6f4ea880-d315-11e8-8587-8b8117efeae9.png
  4. 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:

    https://user-images.githubusercontent.com/1324225/47173020-986f3900-d315-11e8-90ab-4b2ecd85b88e.png
  5. The next page should show your new project. If not, reload the page and select from the top menu:

    https://user-images.githubusercontent.com/1324225/47173170-0b78af80-d316-11e8-879e-01f34e139b80.png

Enable BigQuery API

  1. 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:

    https://user-images.githubusercontent.com/1324225/47173408-a6718980-d316-11e8-94c2-a17ff54fc389.png
  2. After enabling, click CREATE CREDENTIALS:

    https://user-images.githubusercontent.com/1324225/47173432-bc7f4a00-d316-11e8-8152-6a0e6cfab70f.png
  3. Choose the "BigQuery API" and "No, I'm not using them":

    https://user-images.githubusercontent.com/1324225/47173510-ec2e5200-d316-11e8-8508-2bfbb8f6b02f.png
  4. 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:

    https://user-images.githubusercontent.com/1324225/47173576-18e26980-d317-11e8-8bfe-e4775d965e32.png
  5. Click continue and the JSON will download to your computer. Note the download location. Move the file wherever you want:

https://user-images.githubusercontent.com/1324225/47173614-331c4780-d317-11e8-9ed2-fc76557a2bf6.png
  1. pip install pypinfo
  2. 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

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

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
Owner
Ofek Lev
I like developing beautiful APIs.
Ofek Lev
command line interface to manage VALORANT skins

A PROPER RELEASE IS COMING SOON, IF YOU KNOW HOW TO USE PYTHON YOU CAN USE IT NOW! valorant skin manager command line interface simple command line in

colinh 131 Dec 25, 2022
Simple Tool To Grab Like-Card Coupon

Simple Tool To Grab Like-Card Coupon

Soud 10 Jan 30, 2022
Convert markdown to HTML using the GitHub API and some additional tweaks with Python.

Convert markdown to HTML using the GitHub API and some additional tweaks with Python. Comes with full formula support and image compression.

phseiff 70 Dec 23, 2022
A command line tool to create a graph representing your Ansible playbook tasks and roles

Ansible Playbook Grapher ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles.

Mohamed El Mouctar Haidara 424 Dec 20, 2022
Zero-config CLI for TypeScript package development

Despite all the recent hype, setting up a new TypeScript (x React) library can be tough. Between Rollup, Jest, tsconfig, Yarn resolutions, ESLint, and

Jared Palmer 10.5k Jan 08, 2023
f90nml - A Fortran namelist parser, generator, and editor

f90nml - A Fortran namelist parser, generator, and editor A Python module and command line tool for parsing Fortran namelist files Documentation The c

Marshall Ward 110 Dec 14, 2022
Aurornis - The Command Line Program Test Helper

Aurornis - The Command Line Program Test Helper Aurornis is a small, yet powerful library designed to help testing command line programs. The name is

Jérôme Deuchnord 1 Mar 08, 2022
Unconventional ways to save an Image

Unexpected Image Saves Unconventional ways to save an image 😄 Have you ever been bored by the same old .png, .jpg, .jpeg, .gif and all other image ex

Eric Mendes 15 Nov 06, 2022
A lightweight terminal-based password manager coded with Python using SQLCipher for SQLite database encryption.

password-manager A lightweight terminal-based password manager coded with Python using SQLCipher for SQLite database encryption. Screenshot Pre-requis

Leonardo de Araujo 15 Oct 15, 2022
Runs a command in P4wnP1 and displays the output on OLED screen (SH1106)

p4wnp1-oled-terminal Runs a command in P4wnP1 and displays the output on OLED screen (SH1106) Works on Raspberry Pi Zero 2 W Tested successfully on RP

PawnSolo 1 Dec 14, 2021
A command-line tool to flash python code to Codey Rocky without having to use the online mblock5 IDE.

What? A command-line tool to flash python code to Codey Rocky without having to use the online mblock5 IDE. Description This is a very low-effort proj

1 Dec 29, 2021
WA Terminal is a CLI application that allows us to login and send message with WhatsApp with a single command.

WA Terminal is a CLI application that allows us to login and send message with WhatsApp with a single command.

Aziz Fikri 15 Apr 15, 2022
A minimal and ridiculously good looking command-line-interface toolkit.

Pyceo Pyceo is a Python package for creating beautiful, composable, and ridiculously good looking command-line-user-interfaces without having to write

Juan-Pablo Scaletti 21 Mar 25, 2022
Double Pendulum visualised with fetching system information in Python.

Show off your terminal, in style. A nice relaxing double pendulum simulation using ASCII, able to simulate multiple pendulums at once, and provide tra

Nekurone 62 Dec 14, 2022
A Multipurpose bot with many Commands made using Pycord

This repo has all of the commands you will ever need in a discord bot. a Multipurpose discord bot

Pogrammar 42 Dec 18, 2022
Play videos in the terminal.

Termvideo Play videos in the terminal (stdout). python main.py /path/to/video.mp4 Terminal size: -x output_width, -y output_height. Default autodetect

Patrick 11 Jun 13, 2022
Tablicate - Python library for easy table creation and output to terminal

Tablicate Tablicate - Python library for easy table creation and output to terminal Features Column-wise justification alignment (left, right, center)

3 Dec 14, 2022
Todo - You could use terminal to set your todo

Python Tutorial You can learn how to build a terminal application(CLI applicatio

29 Jun 29, 2022
Cli tool to browse and play anime

browse and watch anime (scrape from gogoanime) (wip) basically ani-cli but in python cuz python good demo dependencies mpv installation from pypi pip

sheep padowo 2 Apr 20, 2022
Textual: a TUI (Text User Interface) framework for Python inspired by modern web development

Textual Textual is a TUI (Text User Interface) framework for Python inspired by

17.1k Jan 04, 2023