# dateutil/dateutil SLOC report

> As of 2026-08-28 (commit 48bd1af97e71), dateutil/dateutil contains 8,770 total lines: 6,746 code, 772 comments, 1,252 blank, across 51 files in 12 languages (top: Python 92.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

dateutil/dateutil has 6,746 source lines of code out of 8,770 total lines across 51 files, counted from the master ref at commit 48bd1af97e71 by the OctoCounts tokei engine on 2026-08-28. 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 dateutil/dateutil to commit 48bd1af97e71, 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 76.9% of all lines, comments represent 8.8%, and the repository averages 132 code lines per file. Python accounts for 92.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 20 | 7,817 | 6,211 | 512 | 1,094 |
| ReStructuredText | 16 | 201 | 156 | 0 | 45 |
| INI | 1 | 137 | 118 | 4 | 15 |
| Forge Config | 1 | 80 | 74 | 0 | 6 |
| Shell | 2 | 108 | 62 | 22 | 24 |
| TOML | 1 | 65 | 55 | 0 | 10 |
| YAML | 2 | 47 | 34 | 6 | 7 |
| JSON | 1 | 22 | 22 | 0 | 0 |
| Batch | 1 | 18 | 10 | 4 | 4 |
| Autoconf | 1 | 4 | 4 | 0 | 0 |
| Markdown | 2 | 239 | 0 | 192 | 47 |
| Plain Text | 3 | 32 | 0 | 32 | 0 |

Top language (Python 92.1%). Generated at 2026-08-28T05:35:54.987111362+00:00. Canonical report: https://octocounts.com/github/dateutil/dateutil

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/dateutil/dateutil/commit/48bd1af97e71baf8e96fce5b663d589caac8f147?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 dateutil/dateutil have?

dateutil/dateutil has 8,770 total lines, including 6,746 code lines, 772 comment lines, and 1,252 blank lines.

### How was the dateutil/dateutil line count measured?

OctoCounts resolved the public GitHub repository to commit 48bd1af97e71, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for dateutil/dateutil?

This OctoCounts report was generated from master at commit 48bd1af97e71 on 2026-08-28T05:35:54.987111362+00:00.

## Similar repository reports

- [microsoft/dynamics365patternspractices](https://octocounts.com/github/microsoft/dynamics365patternspractices) — Python, 6,746 code lines
- [MxUserBot/MXUserbot](https://octocounts.com/github/MxUserBot/MXUserbot) — Python, 6,745 code lines
- [ArThirtyFour/MXUserbot](https://octocounts.com/github/ArThirtyFour/MXUserbot) — Python, 6,745 code lines
- [MxUserBot/MxUserbot](https://octocounts.com/github/MxUserBot/MxUserbot) — Python, 6,745 code lines
- [yoheinakajima/babyagi](https://octocounts.com/github/yoheinakajima/babyagi) — Python, 6,714 code lines
- [Wanyi424/astrbot_plugin_qq_restapi](https://octocounts.com/github/Wanyi424/astrbot_plugin_qq_restapi) — Python, 6,831 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)
