wuji-labs/nopua SLOC report
As of 2026-08-05 (commit bf4b2b6c1a50), wuji-labs/nopua contains 15,111 total lines: 5,886 code, 5,669 comments, 3,556 blank, across 79 files in 7 languages (top: Python 75.4%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving wuji-labs/nopua to commit bf4b2b6c1a50, 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 small codebase by counted code lines. Code represents 39.0% of all lines, comments represent 37.5%, and the repository averages 75 code lines per file. Python accounts for 75.4% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 25 | 5551 | 4439 | 244 | 868 |
| TeX | 2 | 933 | 629 | 38 | 266 |
| JSON | 3 | 503 | 500 | 0 | 3 |
| YAML | 7 | 280 | 221 | 28 | 31 |
| JavaScript | 1 | 108 | 97 | 8 | 3 |
| Markdown | 37 | 7519 | 0 | 5181 | 2338 |
| Plain Text | 4 | 217 | 0 | 170 | 47 |
Top language (Python 75.4%). Generated at 2026-08-05T13:15:08.480653581+00:00.
Report FAQ
How many lines of code does wuji-labs/nopua have?
wuji-labs/nopua has 15,111 total lines, including 5,886 code lines, 5,669 comment lines, and 3,556 blank lines.
How was the wuji-labs/nopua line count measured?
OctoCounts resolved the public GitHub repository to commit bf4b2b6c1a50, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for wuji-labs/nopua?
This OctoCounts report was generated from main at commit bf4b2b6c1a50 on 2026-08-05T13:15:08.480653581+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- langchain-ai/open_deep_research — Python, 5,856 code lines
- Mavis2103/skill-context-manager — Python, 5,841 code lines
- karpathy/nanochat — Python, 5,935 code lines
- ZXB6/YOLOCV-huzhou — Python, 6,036 code lines
- OpenMOSS/MOSS-Transcribe-Diarize — Python, 5,712 code lines
- yoheinakajima/babyagi_archive — Python, 6,062 code lines