Python · MIT
san089/goodreads_etl_pipeline
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
★ 1.6k
Stars
248 forks · 0 open issues
+3.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
25.1
Momentum / 100
see the breakdown below
6y ago
Created
last push 6y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.0 | +3.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 12.9 | last week ran 1.86× the monthly pace |
| Freshness | 15 | 0.0 | last push 6y ago; decays to zero at 180 days |
| Scale | 15 | 9.3 | 1.6k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 25.1 | sum of the above |
Detail
| Topics | airflowairflow-dagapache-airflowapache-sparkdata-engineeringdata-engineering-pipelinedata-lakedata-migrationemr-clusteretl-frameworketl-jobetl-pipelinegoodreads-data-pipelinelivypythonredshifts3schedulersparkwarehouse |
| Matched on | Data (data-engineering) |
| Short window | +3 stars over 7 days = 0.4/day |
| Long window | +6 stars over 26 days = 0.2/day |
| Lifetime average | 0.63 stars/day over 2,457 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |