PyPI package analytics, real.
Real download data for the Python package ecosystem — top packages, trending libraries, new releases, and deep per-package analytics. No estimates, no fabricated numbers.
Real PyPI data
Every count comes straight from pypistats.org — the official public PyPI download-stats service, no estimates.
Trending, computed transparently
(week × 4 − month) / month × 100 — real download deltas, nothing modelled.
Most downloaded PyPI packages ranked by real download volume from pypistats.org.
About PyPI Analytics
Which PyPI packages are the most downloaded?
The most downloaded PyPI packages are foundational ecosystem dependencies: boto3, numpy, requests, packaging, and similar libraries pulled in by countless other packages and CI pipelines. StatFlare ranks them using real download counts from pypistats.org — the figures are genuine, not estimates.
How does the trending calculation work?
Growth = (last-week × 4 − last-month) / last-month × 100. A positive result means the weekly rate exceeds the monthly average. All inputs are real pypistats.org data.
How fresh and accurate are the download numbers?
pypistats.org sources its numbers from Google's public PyPI download dataset, which is refreshed roughly once a day — so figures typically lag by a day or so rather than being instantaneous like some other package registries. StatFlare doesn't smooth, estimate, or backfill that gap; it shows exactly what pypistats.org reports, with mirror/CI-sync traffic excluded (mirrors=false) so counts reflect genuine pip installs.
Can I compare multiple PyPI packages?
Yes. Open any package detail page and use the comparison panel to add up to 3 packages side-by-side, with real download charts and version data.