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pypistats

Python interface to PyPI Stats API https://pypistats.org/api

Worth itPyPI UtilitiesReleased Jun 2026107.4K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pypistats-1.14.0-py3-none-any.whl
v1.14.0 · released 2026-06-30 · Python >=3.10 · 6 runtime deps: platformdirs, prettytable, python-slugify, termcolor, tomli, urllib3

Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real need for developers who want to track PyPI download statistics without setting up BigQuery. The MIT license is permissive. Install it if you need programmatic or command-line access to PyPI Stats data.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; queries depend on network access to pypistats.org API.
  • Low friction installation with six lightweight runtime dependencies.
  • The package is actively maintained with a recent release and steady commit activity, supporting current Python versions (3.10–3.15).

License · maintenance · safety

MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both commercial and personal projects.

last release 2026-06-30 (45 days) · last repo commit 2026-08-01 · 240 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 107,361 downloads/mo, #12,616 on PyPI

Verify before relying

pip install pypistats

from pypistats.api import overall
stats = overall('pillow')
print(stats)
  • Whether the package caches API responses or always fetches fresh data from the network.
  • Rate limiting or quota constraints imposed by the PyPI Stats API that users should be aware of.
Same gist for agents: .md · .json

What it is and what it does

pypistats is a Python client for the PyPI Stats API that retrieves aggregate download statistics for packages on PyPI without requiring direct BigQuery access. It works as both a command-line tool and a library, querying data available for the last 180 days and presenting results in multiple formats (JSON, Markdown, HTML, TSV, plain text tables).

The tool supports several query types: recent downloads (last day/week/month), downloads by Python version (major or minor), downloads by system, and overall statistics. It can accept a package name directly or read from a local pyproject.toml or setup.cfg file. Results are formatted with color-coded terminal output by default and can be sorted by download count or date.

Use it for

  • Monitor your own package's download trends over the last 180 days to gauge adoption and usage patterns.
  • Compare download statistics across Python versions to understand which versions your users are running.
  • Generate download reports in Markdown or HTML for inclusion in documentation, GitHub issues, or release notes.
  • Analyze ecosystem trends by querying statistics for multiple packages to identify popular dependencies.
  • Automate download metrics collection in CI/CD pipelines to track package health over time.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real need for developers who want to track PyPI download statistics without setting up BigQuery. The MIT license is permissive. Install it if you need programmatic or command-line access to PyPI Stats data.

Install

pypistats on PyPI

Before you install

Low friction installation with six lightweight runtime dependencies. The package is actively maintained with a recent release and steady commit activity, supporting current Python versions (3.10–3.15).

Requires Python 3.10 or later; queries depend on network access to pypistats.org API.

License in practice

MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both commercial and personal projects.

Quickstart

pip install pypistats

from pypistats.api import overall
stats = overall('pillow')
print(stats)

Verify before relying

  • Whether the package caches API responses or always fetches fresh data from the network.
  • Rate limiting or quota constraints imposed by the PyPI Stats API that users should be aware of.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
6 packages
platformdirsprettytablepython-slugifytermcolortomliurllib3
MaintenanceActively maintained 45 days since the last release
Last repo commit
First released
Downloads107,361 / month, #12,616 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: End Users/DesktopOperating System :: OS IndependentProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTyping :: Typed

Evidence: pypistats-1.14.0-py3-none-any.whl

Tags

Capabilities
pypi package download statisticspypi stats api clientpython package download analyticspypi download trendspackage popularity metricspypi stats command linedownload statistics by python version
Topics
pypi-analyticsdownload-metrics
PyPI keywords
BigQueryPyPIdownloadsstatisticsstats

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See also MLB-StatsAPI · tavily-cli · nba_api · pyproject-api · sec-api · nflreadpy · pypi-simple · sib-api-v3-sdk · trendspy · m2r2