As of 2026-07-18 (commit 6abdc2368224), foru17/make-x-great-again contains 761,377 total lines: 749,110 code, 10,621 comments, 1,646 blank, across 171 files in 13 languages (top: JSON 96.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving foru17/make-x-great-again to commit 6abdc2368224, 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.
This is a large codebase by counted code lines. Code represents 98.4% of all lines, comments represent 1.4%, and the repository averages 4,381 code lines per file. JSON accounts for 96.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 13 | 720789 | 720789 | 0 | 0 |
| TypeScript | 51 | 28842 | 18941 | 9215 | 686 |
| TSX | 44 | 6577 | 6155 | 58 | 364 |
| CSS | 4 | 1540 | 1336 | 122 | 82 |
| Python | 2 | 713 | 583 | 37 | 93 |
| SQL | 36 | 1022 | 568 | 401 | 53 |
| YAML | 2 | 456 | 348 | 15 | 93 |
| Templ | 2 | 182 | 171 | 0 | 11 |
| JavaScript | 3 | 182 | 143 | 19 | 20 |
| HTML | 3 | 43 | 43 | 0 | 0 |
| TOML | 1 | 78 | 31 | 36 | 11 |
| SVG | 2 | 2 | 2 | 0 | 0 |
Top language (JSON 96.2%). Generated at 2026-07-18T14:09:29.781518116+00:00.
foru17/make-x-great-again has 761,377 total lines, including 749,110 code lines, 10,621 comment lines, and 1,646 blank lines.
OctoCounts resolved the public GitHub repository to commit 6abdc2368224, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit 6abdc2368224 on 2026-07-18T14:09:29.781518116+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: