As of 2026-07-12 (commit 57d10c8249c1), GenerateNU/dearly contains 41,596 total lines: 37,275 code, 1,931 comments, 2,390 blank, across 399 files in 12 languages (top: JSON 39.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving GenerateNU/dearly to commit 57d10c8249c1, 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 medium-sized codebase by counted code lines. Code represents 89.6% of all lines, comments represent 4.6%, and the repository averages 93 code lines per file. JSON accounts for 39.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 25 | 14706 | 14706 | 0 | 0 |
| TSX | 154 | 10803 | 9788 | 50 | 965 |
| TypeScript | 172 | 11607 | 8662 | 1707 | 1238 |
| YAML | 3 | 3324 | 3274 | 0 | 50 |
| SVG | 8 | 404 | 404 | 0 | 0 |
| SQL | 17 | 240 | 215 | 16 | 9 |
| JavaScript | 6 | 95 | 81 | 3 | 11 |
| Shell | 7 | 119 | 81 | 12 | 26 |
| Nix | 1 | 38 | 37 | 0 | 1 |
| Dockerfile | 2 | 35 | 25 | 1 | 9 |
| TOML | 1 | 3 | 2 | 1 | 0 |
| Markdown | 3 | 222 | 0 | 141 | 81 |
Top language (JSON 39.5%). Generated at 2026-07-12T17:30:33.469507974+00:00.
GenerateNU/dearly has 41,596 total lines, including 37,275 code lines, 1,931 comment lines, and 2,390 blank lines.
OctoCounts resolved the public GitHub repository to commit 57d10c8249c1, 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 57d10c8249c1 on 2026-07-12T17:30:33.469507974+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: