Nano-AI/lake-day SLOC report

As of 2026-08-22 (commit cf72c79146e7), Nano-AI/lake-day contains 6,764 total lines: 4,852 code, 1,079 comments, 833 blank, across 51 files in 6 languages (top: Swift 85.2%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving Nano-AI/lake-day to commit cf72c79146e7, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

Repository size insights

This is a small codebase by counted code lines. Code represents 71.7% of all lines, comments represent 16.0%, and the repository averages 95 code lines per file. Swift accounts for 85.2% of counted code.

LanguageFilesLinesCodeCommentsBlanks
Swift4154994134689676
JSON144044000
Python12752291234
YAML1524903
Markdown64970377120
Plain Text11010

Top language (Swift 85.2%). Generated at 2026-08-22T18:26:14.744123707+00:00.

Report FAQ

How many lines of code does Nano-AI/lake-day have?

Nano-AI/lake-day has 6,764 total lines, including 4,852 code lines, 1,079 comment lines, and 833 blank lines.

How was the Nano-AI/lake-day line count measured?

OctoCounts resolved the public GitHub repository to commit cf72c79146e7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for Nano-AI/lake-day?

This OctoCounts report was generated from main at commit cf72c79146e7 on 2026-08-22T18:26:14.744123707+00:00.