Recreate every statistic and table quoted in the top-level README. uarite must be importable (e.g. pip install -e . or run with PYTHONPATH pointing at the repo root); the reference parsers are benchmark-only dependencies, pulled ad hoc via uv run --with.

download_data.py — fetch the external datasets into data/: the 100 modern browser UAs (top-user-agents npm package) and the crawler corpus (monperrus/crawler-user-agents). data/ua.txt is a committed real-traffic sample, not downloaded.
```
uv run scripts/download_data.py
```

prettytable.py — prints the accuracy-comparison markdown table:

uv run --with ua-parser --with fastuaparser python scripts/prettytable.py

bench.py — prints browser-accuracy counts, crawler-detection rates, URL-extraction coverage, and the timing tables (unique UAs, realistic mix, bot storm) with cache statistics:
```
uv run --with ua-parser --with user-agents --with fastuaparser \
    python scripts/bench.py
```