Code Line Metrics
π Code Analysis Report
Generated using cloc v1.96 | β‘ Performance: 0.27s | π Speed: 1,063.8 files/s, 72,135.7 lines/s
π Project Overview
π― Key Metrics
Total Files: 287
Total Lines: 17,010
Blank Lines: 2,113
Comment Lines: 339
Code Lines: 17,010
ποΈ Language Distribution
π·οΈ Language
π Files
β¬ Blank
π¬ Comments
π» Code
π %
π‘ JSON
7
0
0
7,568
44.5%
βοΈ JSX
86
1,003
57
4,827
28.4%
π Kotlin
85
453
31
2,089
12.3%
β Java
27
219
8
630
3.7%
π Markdown
10
140
0
432
2.5%
π§ YAML
7
28
27
322
1.9%
π¨ JavaScript
20
45
26
229
1.3%
π³ Dockerfile
11
62
43
167
1.0%
ποΈ SQL
6
25
0
149
0.9%
π¨ CSS
11
27
15
118
0.7%
π Shell
1
28
118
106
0.6%
π Python
4
25
2
81
0.5%
πΎ DOS Batch
1
21
2
71
0.4%
π¨ Gradle
2
14
1
69
0.4%
π¦ Maven
1
10
1
68
0.4%
π HTML
2
11
8
58
0.3%
βοΈ Properties
2
2
0
16
0.1%
π Text
3
0
0
9
0.1%
πΌοΈ SVG
1
0
0
1
0.0%
π Top Languages by Code Volume
π‘ Analytics
π Project Composition
Frontend-oriented: 72.9% of the code is in web technologies (JSON, JSX, JS, CSS, HTML)
Mobile Development: Significant presence of Kotlin (12.3%) indicates Android development
Full-Stack: Mix of backend (Java, Python), frontend (JSX, JS), and configuration files
π Code Quality Metrics
Comment Ratio: 2.0% (339/17,010)
Blank Line Ratio: 12.4% (2,113/17,010)
Files per Language: On average 15.1 files per language type
π― Development Focus
Data-oriented: Large volume of JSON indicates an architecture with heavy API/configuration usage
React Ecosystem: Significant use of JSX points to a React-based frontend
Cross-platform: Kotlin + Java suggests mobile + backend development
π Report generated on request | π οΈ Powered by cloc v1.96
Last updated
Was this helpful?