As of 2026-07-13 (commit 43f68f00b4e6), deepin-community/libntlm contains 41,803 total lines: 29,418 code, 8,491 comments, 3,894 blank, across 88 files in 10 languages (top: M4 35.1%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving deepin-community/libntlm to commit 43f68f00b4e6, 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 70.4% of all lines, comments represent 20.3%, and the repository averages 334 code lines per file. M4 accounts for 35.1% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| M4 | 41 | 14611 | 10314 | 3200 | 1097 |
| Shell | 5 | 12408 | 8793 | 2285 | 1330 |
| C Header | 18 | 5717 | 3662 | 1535 | 520 |
| Autoconf | 6 | 4275 | 3570 | 399 | 306 |
| C | 9 | 1960 | 1293 | 397 | 270 |
| Makefile | 3 | 1964 | 1247 | 479 | 238 |
| Automake | 2 | 736 | 468 | 147 | 121 |
| YAML | 2 | 40 | 36 | 0 | 4 |
| RPM Specfile | 1 | 43 | 35 | 0 | 8 |
| Plain Text | 1 | 49 | 0 | 49 | 0 |
Top language (M4 35.1%). Generated at 2026-07-13T01:51:24.693854358+00:00.
deepin-community/libntlm has 41,803 total lines, including 29,418 code lines, 8,491 comment lines, and 3,894 blank lines.
OctoCounts resolved the public GitHub repository to commit 43f68f00b4e6, 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 master at commit 43f68f00b4e6 on 2026-07-13T01:51:24.693854358+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: