SamuelBabbertResearch/childrens-media-analysis-toolkit

SamuelBabbertResearch/childrens-media-analysis-toolkit has 45,886 source lines of code out of 74,959 total lines across 177 files, counted from the master ref at commit 622197110a09 by the OctoCounts tokei engine on 2026-09-25. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

As of 2026-09-25 (commit 622197110a09), SamuelBabbertResearch/childrens-media-analysis-toolkit contains 74,959 total lines: 45,886 code, 19,969 comments, 9,104 blank, across 177 files in 7 languages (top: Python 95.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

As of 2026-09-25 (commit 622197110a09), SamuelBabbertResearch/childrens-media-analysis-toolkit contains 74,959 total lines: 45,886 code, 19,969 comments, 9,104 blank, across 177 files in 7 languages (top: Python 95.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving SamuelBabbertResearch/childrens-media-analysis-toolkit to commit 622197110a09, 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 61.2% of all lines, comments represent 26.6%, and the repository averages 259 code lines per file. Python accounts for 95.4% of counted code.

LanguageFilesLinesCodeCommentsBlanks
Python99519234378927025432
CSS31267102096151
JSON2586786700
RPM Specfile22582072922
INI13300
Markdown45206140171163498
Plain Text2270261

Top language (Python 95.4%). Generated at .

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How many lines of code does SamuelBabbertResearch/childrens-media-analysis-toolkit have?

SamuelBabbertResearch/childrens-media-analysis-toolkit has 74,959 total lines, including 45,886 code lines, 19,969 comment lines, and 9,104 blank lines.

How was the SamuelBabbertResearch/childrens-media-analysis-toolkit line count measured?

OctoCounts resolved the public GitHub repository to commit 622197110a09, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for SamuelBabbertResearch/childrens-media-analysis-toolkit?

This OctoCounts report was generated from master at commit 622197110a09 on 2026-09-25T09:03:16.942159570+00:00.

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Play the growth animation for SamuelBabbertResearch/childrens-media-analysis-toolkit on this page — 45,886 code lines across 7 languages, counted by tokei.