awslabs / aws-data-wrangler
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Summary
  |
|||
| Main Code: 13,062 LOC (72 files) = PY (99%) + TOML (<1%) Secondary code: Test: 9,614 LOC (48); Generated: 0 LOC (0); Build & Deploy: 153 LOC (9); Other: 14,772 LOC (34); |
|||
| Duplication: 22% | |||
| File Size: 0% long (>1000 LOC), 30% short (<= 200 LOC) | |||
| Unit Size: 5% long (>100 LOC), 72% short (<= 10 LOC) | |||
| Conditional Complexity: 5% complex (McCabe index > 50), 80% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (10 components) | ||
|
|
2 years, 11 months old
|
||
|
|
26% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2022-01-28
|
19
commits
(30 days)
8
contributors
(30 days) |
|