PyPI Package Stats

A Python library and optional CLI tool for PyPI package stats and download analytics, built on the official pypistats API. Fetch daily, weekly, monthly, and 180-day downloads, Python version and OS breakdowns, package metadata, with smart disk caching.

Features

• Package Metadata: Name, version, description, author, license, home page, and PyPI URL
• Download Statistics: Last day, week, month, and 180-day download counts
• Python Version Breakdown: Top 5 Python versions with download percentages (last 30 days)
• Operating System Distribution: Top 4 operating systems with download percentages (last 30 days)
• Dual Interface: Use as a CLI tool or import as a Python library
• Flexible Output for CLI: Human-friendly Rich tables or machine-readable JSON
• Python API: Clean, type-safe API with structured data models
• Smart Disk Caching: Persistent disk cache with configurable TTL (default: 1 hour)
• Cache Management: Inspect cache usage or clear cached responses programmatically or via CLI

Installation

Install the library (no CLI dependencies):

pip install pypi-package-stats

Install with CLI support:

pip install pypi-package-stats[cli]

Library Usage

from pypipackagestats import get_package_stats

# Get package statistics
stats = get_package_stats("requests")

# Access structured data
print(stats.package_info.name)        # "requests"
print(stats.downloads.last_month)     # 123456789

# Convert to dictionary (for JSON serialization)
data = stats.to_dict()

Advanced Options

from pypipackagestats import get_package_stats, clear_cache, get_cache_info

# Disable caching for fresh data
stats = get_package_stats("requests", no_cache=True)

# Custom cache TTL (5 minutes = 300 seconds)
stats = get_package_stats("django", cache_ttl=300)

# Clear all cached responses
clear_cache()

# Get cache statistics
cache_info = get_cache_info()
print(f"Cache size: {cache_info['size']} entries")
print(f"Cache directory: {cache_info['directory']}")

API Reference

Functions

CLI Usage

Requires the cli extra: pip install pypi-package-stats[cli]

Example:

pypi-package-stats package nestedutils --json

Example JSON Output:

{
  "package": {
    "name": "nestedutils",
    "version": "1.1.7",
    "upload_time": "2026-01-25",
    "description": "The lightweight Python library for safe, simple, dot-notation access to nested dicts and lists. Effortlessly get, set, and delete values deep in your complex JSON, API responses, and config files without verbose error-checking or handling KeyError exceptions.",
    "author": "ysskrishna <sivasaikrishnassk@gmail.com>",
    "license": "MIT",
    "home_page": "https://pypi.org/project/nestedutils/",
    "pypi_url": "https://pypi.org/project/nestedutils/"
  },
  "downloads": {
    "last_day": 1,
    "last_week": 112,
    "last_month": 307,
    "last_180d": 1142
  },
  "python_versions": [
    {
      "version": "null",
      "downloads": 278,
      "percentage": 92.4
    },
    {
      "version": "3.10",
      "downloads": 8,
      "percentage": 2.7
    },
    {
      "version": "3.11",
      "downloads": 4,
      "percentage": 1.3
    },
    {
      "version": "3.12",
      "downloads": 4,
      "percentage": 1.3
    },
    {
      "version": "3.13",
      "downloads": 4,
      "percentage": 1.3
    }
  ],
  "operating_systems": [
    {
      "os": "null",
      "downloads": 278,
      "percentage": 92.4
    },
    {
      "os": "Linux",
      "downloads": 19,
      "percentage": 6.3
    },
    {
      "os": "Darwin",
      "downloads": 4,
      "percentage": 1.3
    }
  ]
}

For full CLI documentation, see the CLI Guide.

Data Source & Rate Limiting

This tool uses the pypistats API to fetch PyPI package statistics. The API enforces IP-based rate limits (for example, ~5 requests/sec and ~30 requests/min at the time of writing). These limits are set by pypistats.org and may change over time.

The built-in caching system helps minimize API calls and reduce the chance of hitting rate limits. If you encounter rate limit errors, wait a few seconds between requests if making multiple queries.

Limitations

• Python version and OS breakdowns are limited to the last 30 days
• Data availability depends on the pypistats service
• Data is usually 24-48 hours behind (pypistats limitation)

Use Cases

• Compare popularity of Python libraries
• Track adoption trends of your own packages
• Generate download statistics for reports or dashboards
• Automate analytics workflows using the library API or CLI JSON output
• Integrate PyPI stats into your Python applications
• Build custom dashboards and monitoring tools

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Support

If you find this library helpful:

• ⭐ Star the repository
• 🐛 Report issues
• 🔀 Submit pull requests
• 💝 Sponsor on GitHub

License

MIT © Y. Siva Sai Krishna - see LICENSE for details.

Author's GitHub • Author's LinkedIn • Package documentation • Package on PyPI • Report Issues • Changelog • Release History •