aws / aws-glue-databrew-jupyter-extension
Components

An overview of source code logical components.

Intro

Logical decomposition is a representation of the organization of the main source code, where every and each file is put in exactly one logical component.

Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure at level 1 (relative to the source code root).

Bubble Chart | Tree Map
Component Sizes (Lines of Code)
The "primary" logical decomposition has 5 components.
  • 13 files, 606 LOC (44.9% vs. main code).
  • "blogpost" is biggest, containing 47.69% of LOC.
  • "aws_glue_databrew_jupyter_extension" is smallest, containing 0.66% of LOC.


blogpost289 LOC (21%) 1 file
src280 LOC (20%) 8 files
ROOT29 LOC (2%) 2 files
build4 LOC (<1%) 1 file
aws_glue_databrew_jupyter_extension4 LOC (<1%) 1 file
Component Commits
Components ordered by number of commits
Total Commits per Component
All commits, some commits may include files from multiple components.
src8 commits (12%)
ROOT5 commits (7%)
blogpost4 commits (6%)
aws_glue_databrew_jupyter_extension2 commits (3%)
build1 commits (1%)
Yearly File Updates Trend per Components
The number of file changes in commits
animated commit history: all time cumulative | 12 months window
2025 2024 2023 2022 2021 2020
src
3
20
4
ROOT
1
1
3
build
1
aws_glue_databrew_jupyter_extension
1
1
blogpost
1
3


Dependencies between components in same commits (past 180 days)
The number on the lines shows the number of shared commits.


2025-05-04 00:13