ayamai1/kpm-repo SLOC report

As of 2026-09-01 (commit 4812f212c0ef), ayamai1/kpm-repo contains 13,494 total lines: 13,482 code, 0 comments, 12 blank, across 3 files in 2 languages (top: JSON 99.7%). Counted with tokei via OctoCounts.

As of 2026-09-01 (commit 4812f212c0ef), ayamai1/kpm-repo contains 13,494 total lines: 13,482 code, 0 comments, 12 blank, across 3 files in 2 languages (top: JSON 99.7%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving ayamai1/kpm-repo to commit 4812f212c0ef, 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 medium-sized codebase by counted code lines. Code represents 99.9% of all lines, comments represent 0.0%, and the repository averages 4,494 code lines per file. JSON accounts for 99.7% of counted code.

LanguageFilesLinesCodeCommentsBlanks
JSON2134401344000
Python15442012

Top language (JSON 99.7%). Generated at 2026-09-01T14:06:52.223207070+00:00.

Report FAQ

How many lines of code does ayamai1/kpm-repo have?

ayamai1/kpm-repo has 13,494 total lines, including 13,482 code lines, 0 comment lines, and 12 blank lines.

How was the ayamai1/kpm-repo line count measured?

OctoCounts resolved the public GitHub repository to commit 4812f212c0ef, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for ayamai1/kpm-repo?

This OctoCounts report was generated from main at commit 4812f212c0ef on 2026-09-01T14:06:52.223207070+00:00.

Similar repository reports

Other public repositories with an OctoCounts report, ranked by top language and code size similarity: