tensorflow / tflite-support

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.

Summary
PROTO
PY3
LDS
IN
email_034-attachment-send-file-code-cssCreated with Sketch.
Main Code: 36,399 LOC (475 files) = CC (40%) + JAVA (31%) + H (14%) + PY (6%) + PROTO (3%) + M (2%) + BZL (<1%) + MM (<1%) + PY3 (<1%) + LDS (<1%) + IN (<1%)
Secondary code: Test: 9,175 LOC (76); Generated: 0 LOC (0); Build & Deploy: 433 LOC (9); Other: 3,248 LOC (53);
Artboard 48 Duplication: 15%
File Size: 3% long (>1000 LOC), 63% short (<= 200 LOC)
Unit Size: 4% long (>100 LOC), 54% short (<= 10 LOC)
Conditional Complexity: <1% complex (McCabe index > 50), 67% simple (McCabe index <= 5)
Logical Component Decomposition: primary (11 components)
files_time

1 year, 8 months old

  • 62% of code older than 365 days
  • 9% 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: 2022-02-01

60
commits
(30 days)
11
contributors
(30 days)
Commits

60

760

211

Contributors

11

35

14

2022 2021 2020
show commits trend per language
Reports
Analysis Report
Trend
Analysis Report
76_startup_sticky_notes
Notes & Findings
Links

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