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
A library for creating text-based graphs in the terminal

tplot is a Python package for creating text-based graphs. Useful for visualizing data to the terminal or log files.

Jeroen Delcour 164 Dec 14, 2022
A python program to detect your emotion and suggest a playlist.

mood_music A python program to detect your emotion and suggest a playlist. This program is written in python using opencv,FER() and tensorflow This pr

Aditya_Sai 1 Jan 02, 2022
A handy command-line utility for generating and sending iCalendar events

A handy command-line utility for generating and sending iCalendar events This simple command-line utility is designed to generate an iCalendar event,

Baochun Li 17 Nov 21, 2022
Analyzing the most strategic words to guess on Wordle, based on letter frequency distributions

wordle-analysis Evaluating different heuristics to determine the most effective solving strategy and building an AI-powered assistant tool to help you

Sejal Dua 9 Feb 27, 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
xonsh is a Python-powered, cross-platform, Unix-gazing shell language and command prompt.

xonsh xonsh is a Python-powered, cross-platform, Unix-gazing shell language and command prompt. The language is a superset of Python 3.6+ with additio

xonsh 6.7k Jan 08, 2023
vimBrain is a brainfuck-based vim-inspired esoteric programming language.

vimBrain vimBrain is a brainfuck-based vim-inspired esoteric programming language. vimBrainPy Currently, the only interpreter available is written in

SalahDin Ahmed 3 May 08, 2022
GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data

GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data

14 Dec 17, 2022
Pastekan adalah website paste kode / teks sederhana

Pastekan pastekan adalah website paste kode / teks sederhana. install pip install pastekan penggunaan pastekan myfile.txt atau echo "hi" | pastekan

Sekai Kode 1 Dec 24, 2021
command line tool for frequent nmigen tasks (generate sources, show design)

nmigen-tool command line tool for frequent nmigen tasks (generate sources, show design) Usage: generate verilog: nmigen generate verilog nmigen_librar

Hans Baier 8 Nov 27, 2022
A command line tool to hide and reveal information inside images (works for both PNGs and JPGs)

ImgReRite A command line tool to hide and reveal information inside images (work

Jigyasu 10 Jul 27, 2022
Password manager for the CLI simps.

CLI Password Manager Password manager for the CLI simps. Free software: MIT license

1 Dec 30, 2021
🌍 Harness the power of whatsmydns from the command-line.

chkdns Harness the power of whatsmydns from the command-line. Installing with pip pip install chkdns Run chkdns --host github.com Alternatively you ca

Craig Gumbley 3 Oct 29, 2022
⌨ Toward a more useful keyboard

Toward a more useful keyboard Steve Losh's Modern Space Cadet is an inspiration. It opened my eyes to the fact that there's a more useful keyboard hid

Jason Rudolph 1.7k Jan 01, 2023
Ntfy - πŸ–₯οΈπŸ“±πŸ”” A utility for sending notifications, on demand and when commands finish.

About ntfy ntfy brings notification to your shell. It can automatically provide desktop notifications when long running commands finish or it can send

Daniel Schep 4.5k Jan 01, 2023
Albert launcher extension for converting units of length, mass, speed, temperature, time, current, luminosity, printing measurements, molecular substance, and more

unit-converter-albert-ext Extension for converting units of length, mass, speed, temperature, time, current, luminosity, printing measurements, molecu

Jonah Lawrence 2 Jan 13, 2022
pls is a better ls for developers, pronounced /pliːz/ as in 'please'

pls is a better ls for developers. The "p" stands for ("pro" as in "professional"/"programmer") or "prettier". It works in a manner similar to ls, in

Dhruv Bhanushali 572 Dec 28, 2022
asciinema - Terminal session recorder πŸ“Ή

asciinema - Terminal session recorder πŸ“Ή

asciinema 11.1k Dec 27, 2022
Dead simple CLI tool to try Python packages - It's never been easier! :package:

try - It's never been easier to try Python packages try is an easy-to-use cli tool to try out Python packages. Features Install specific package versi

Timo Furrer 659 Dec 28, 2022
A python command line tool to calculate options max pain for a given company symbol and options expiry date.

Options-Max-Pain-Calculator A python command line tool to calculate options max pain for a given company symbol and options expiry date. Overview - Ma

13 Dec 26, 2022