# deepin-community/libntlm SLOC report

> As of 2026-09-22 (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%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

deepin-community/libntlm has 29,418 source lines of code out of 41,803 total lines across 88 files, counted from the 43f68f00b4e64bc072c7149d339de597e34fd4c3 ref at commit 43f68f00b4e6 by the OctoCounts tokei engine on 2026-09-22. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

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.

## Repository size insights

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 | 14,611 | 10,314 | 3,200 | 1,097 |
| Shell | 5 | 12,408 | 8,793 | 2,285 | 1,330 |
| C Header | 18 | 5,717 | 3,662 | 1,535 | 520 |
| Autoconf | 6 | 4,275 | 3,570 | 399 | 306 |
| C | 9 | 1,960 | 1,293 | 397 | 270 |
| Makefile | 3 | 1,964 | 1,247 | 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 2026-09-22T17:26:45.847028668+00:00. Canonical report: https://octocounts.com/github/deepin-community/libntlm

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/deepin-community/libntlm/commit/43f68f00b4e64bc072c7149d339de597e34fd4c3?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does deepin-community/libntlm have?

deepin-community/libntlm has 41,803 total lines, including 29,418 code lines, 8,491 comment lines, and 3,894 blank lines.

### How was the deepin-community/libntlm line count measured?

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.

### What commit was counted for deepin-community/libntlm?

This OctoCounts report was generated from 43f68f00b4e64bc072c7149d339de597e34fd4c3 at commit 43f68f00b4e6 on 2026-09-22T17:26:45.847028668+00:00.

## Similar repository reports

- [mvt-project/mvt](https://octocounts.com/github/mvt-project/mvt) — Python, 29,419 code lines
- [xianyu110/awesome-gpt-6-astra](https://octocounts.com/github/xianyu110/awesome-gpt-6-astra) — JSON, 29,383 code lines
- [OpenBMB/MiniCPM-V](https://octocounts.com/github/OpenBMB/MiniCPM-V) — Python, 29,506 code lines
- [ctfhubio/GNU-time](https://octocounts.com/github/ctfhubio/GNU-time) — C Header, 29,523 code lines
- [cloud-in-a-bottle/cloud-in-a-bottle](https://octocounts.com/github/cloud-in-a-bottle/cloud-in-a-bottle) — Python, 29,270 code lines
- [coji/natural-japanese](https://octocounts.com/github/coji/natural-japanese) — JSON, 29,256 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
