tensorflow / tfjs-wechat

WeChat Mini-program plugin for TensorFlow.js

Summary
email_034-attachment-send-file-code-cssCreated with Sketch.
Main Code: 431 LOC (7 files) = TS (93%) + YML (6%)
Secondary code: Test: 436 LOC (4); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 1,290 LOC (27);
Artboard 48 Duplication: 7%
File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC)
Unit Size: 0% long (>100 LOC), 54% short (<= 10 LOC)
Conditional Complexity: 0% complex (McCabe index > 50), 93% simple (McCabe index <= 5)
Logical Component Decomposition: primary (4 components)
files_time

2 years, 10 months old

  • 100% of code older than 365 days
  • 77% of code not updated in the past 365 days

0% 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)
Straight_Line
Features of interest:
TODOs
1 file
Commits Trend

Latest commit date: 2021-08-13

0
commits
(30 days)
0
contributors
(30 days)
Commits

10

13

60
Contributors

2

4

5
2021 2020 2019
show commits trend per language
Reports
Analysis Report
email_034-attachment-send-file-code-cssCreated with Sketch.
Source Code Overview
Analysis Report
Components
Analysis Report
Artboard 48
Duplication
Analysis Report
File Size
Analysis Report
files_time
File Age
Analysis Report
File Change Frequency
Analysis Report
Temporal Dependencies
Analysis Report
Commits & Contributors
Analysis Report
Unit Size
Analysis Report
Conditional Complexity
Analysis Report
Straight_Line
Features of Interest
Analysis Report
All Metrics
Analysis Report
Goals & Controls
Analysis Report
Trend
Analysis Report
76_startup_sticky_notes
Notes & Findings
Links

generated by sokrates.dev (configuration) on 2022-02-03