As of 2026-07-12 (commit c390ca87229c), GenerateNU/skillspark contains 75,040 total lines: 64,663 code, 1,978 comments, 8,399 blank, across 915 files in 17 languages (top: Go 52.1%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving GenerateNU/skillspark to commit c390ca87229c, 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 86.2% of all lines, comments represent 2.6%, and the repository averages 71 code lines per file. Go accounts for 52.1% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Go | 474 | 40218 | 33678 | 513 | 6027 |
| TSX | 175 | 19758 | 18412 | 83 | 1263 |
| YAML | 2 | 4979 | 4976 | 0 | 3 |
| SQL | 134 | 2439 | 2178 | 127 | 134 |
| TypeScript | 46 | 1918 | 1696 | 36 | 186 |
| JSON | 19 | 1691 | 1684 | 0 | 7 |
| Makefile | 3 | 863 | 670 | 98 | 95 |
| HCL | 17 | 682 | 563 | 16 | 103 |
| SVG | 16 | 233 | 233 | 0 | 0 |
| Shell | 5 | 230 | 160 | 29 | 41 |
| JavaScript | 7 | 183 | 149 | 19 | 15 |
| TOML | 1 | 393 | 145 | 200 | 48 |
Top language (Go 52.1%). Generated at 2026-07-12T17:30:52.011531048+00:00.
GenerateNU/skillspark has 75,040 total lines, including 64,663 code lines, 1,978 comment lines, and 8,399 blank lines.
OctoCounts resolved the public GitHub repository to commit c390ca87229c, 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 c390ca87229c on 2026-07-12T17:30:52.011531048+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: