As of 2026-09-11 (commit f1a57bbcabf5), Imbad0202/academic-research-skills contains 477,987 total lines: 283,996 code, 123,855 comments, 70,136 blank, across 1,693 files in 10 languages (top: Python 77.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving Imbad0202/academic-research-skills to commit f1a57bbcabf5, 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 59.4% of all lines, comments represent 25.9%, and the repository averages 168 code lines per file. Python accounts for 77.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 428 | 260991 | 220122 | 11880 | 28989 |
| JSON | 475 | 60983 | 60875 | 0 | 108 |
| Shell | 9 | 2205 | 1239 | 798 | 168 |
| YAML | 17 | 975 | 803 | 120 | 52 |
| TOML | 2 | 687 | 496 | 27 | 164 |
| JavaScript | 2 | 394 | 343 | 1 | 50 |
| TeX | 1 | 199 | 86 | 67 | 46 |
| jq | 5 | 133 | 32 | 101 | 0 |
| Markdown | 729 | 137179 | 0 | 96742 | 40437 |
| Plain Text | 25 | 14241 | 0 | 14119 | 122 |
Top language (Python 77.5%). Generated at 2026-09-11T15:33:37.264132040+00:00.
Imbad0202/academic-research-skills has 477,987 total lines, including 283,996 code lines, 123,855 comment lines, and 70,136 blank lines.
OctoCounts resolved the public GitHub repository to commit f1a57bbcabf5, 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 f1a57bbcabf5 on 2026-09-11T15:33:37.264132040+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: