Python · MIT
arielshakaramiro/assignment-data-pipeline
A Python/Pandas ETL pipeline that turns a deliberately messy automotive dataset into production-ready data, with 15 pytest tests and GitHub Actions CI.
★ 49
Stars
1 forks · 1 open issues
—
Growth · stale
We stopped seeing this repository in its topic's top results, so its star count is frozen at the date it was last read. Subtracting from a frozen number would read as zero growth, which would be false, so no rate is shown.
15.4
Momentum / 100
see the breakdown below
2mo ago
Created
last push 56d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | — — no measurable rate |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 10.5 | last push 56d ago; decays to zero at 180 days |
| Scale | 15 | 4.9 | 49 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 15.4 | capped at 35 because growth is unmeasured |
Detail
| Topics | data-cleaningdata-engineeringdata-pipelineetlgithub-actionspandaspytestpython |
| Matched on | Data (data-engineering, data-pipeline, etl) |
| Short window | no snapshot 5–10 days old yet |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 0.73 stars/day over 67 days |
| First seen here | 2026-10-11 |
| Last read | 25d ago |