PyPI Stats: Turning Raw Download Numbers into Actionable Insights for Python Package Maintainers

Hey dev community 👋 If you've ever published a Python package on PyPI, you've probably stared at the basic download stats page wondering: Is usage actually growing... or just fluctuating noise? Which versions are people really installing? Did that blog post / Reddit thread / vulnerability actually cause a spike? How does my package stack up against competitors? The official PyPI stats are great raw data (thanks BigQuery!), but they're not exactly maintainer-friendly. No easy trends, no alerts for drops, no quick comparisons, and definitely no AI to explain "hey, your downloads just tanked 40%—maybe check your last release?" After dealing with this frustration on my own projects, I decided to build something better. Enter pypistats.com — The Developer's Dashboard for PyPI. What It Does (Core Features) Live, Real-Time Package Dashboards Just go to https://pypistats.com/packages/your-package-name and get instant visuals: Daily/weekly/monthly download trends Breakdowns by Python version, i