PyPI Package Download Statistics and Velocity Radar
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$0.95 / 1,000 results
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PyPI Package Download Statistics and Velocity Radar
Extract PyPI Package Download Statistics and Velocity data in clean JSON or CSV. Query by package for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.
Pricing
$0.95 / 1,000 results
Rating
0.0
(0)
Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
Categories
Security
Limited permissionsShare
Track daily, weekly, and monthly download volume across Python packages on PyPI to measure developer adoption and ecosystem growth.
Features
- Scrapes aggregated download telemetry generated by pip installations globally.
- Gathers exact 24-hour, 7-day, and 30-day download metrics without API tokens.
- Calculates annualized average daily download rates automatically.
- Generates direct reference links to official PyPI project homepages and PyPI Stats dashboards.
- Operates via public JSON endpoints with zero proxy overhead.
- Delivers clean records formatted for export to JSON, CSV, Excel, or analytics dashboards.
Input parameters
- Python Package Name: Valid package name registered on the Python Package Index (such as requests, fastapi, or numpy). Default is requests.
Output dataset fields
Each dataset record contains:
- package: Standardized lowercase package name.
- lastDayDownloads: Total successful download events across the preceding 24 hours.
- lastWeekDownloads: Cumulative downloads over the preceding 7 calendar days.
- lastMonthDownloads: Cumulative downloads over the preceding 30 calendar days.
- averageDailyDownloads: Calculated average daily download rate across 30 days.
- pypiUrl: Direct link to the package repository page on pypi.org.
- pypistatsUrl: Direct link to detailed analytics on pypistats.org.
- scrapedAt: UTC timestamp when the data was extracted.
Use cases
- Open source health monitoring: Benchmark competitor framework adoption rates (such as Flask versus FastAPI).
- Corporate security audits: Confirm whether external dependencies maintain widespread active usage.
- Investor research: Track adoption velocity for venture-backed developer infrastructure companies.