# pydantic/httpx2 SLOC report

> pydantic/httpx2: 16,519 code lines at commit fc6ff89cb900, counted with tokei-14.0.0 on 2026-10-21. Saved result 1e5fafd144c27fb1aade3304680a7791a3302209136bce3d1239576816f48ce4.

pydantic/httpx2 has 16,519 source lines of code out of 22,378 total lines across 84 files, counted from the main ref at commit fc6ff89cb900 by the OctoCounts tokei engine on 2026-10-21. 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 pydantic/httpx2 to commit fc6ff89cb900, 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 73.8% of all lines, comments represent 10.4%, and the repository averages 197 code lines per file. Python accounts for 97.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 65 | 19,626 | 16,153 | 848 | 2,625 |
| TOML | 4 | 288 | 245 | 5 | 38 |
| YAML | 2 | 115 | 104 | 0 | 11 |
| Shell | 5 | 43 | 17 | 13 | 13 |
| Markdown | 8 | 2,306 | 0 | 1,466 | 840 |

Top language (Python 97.8%). Generated at 2026-10-21T03:42:19.088174268Z. Canonical report: https://octocounts.com/github/pydantic/httpx2/commit/fc6ff89cb90016e3c6d23f06554ba3e7a46059c7?reportId=1e5fafd144c27fb1aade3304680a7791a3302209136bce3d1239576816f48ce4&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pydantic/httpx2/commit/fc6ff89cb90016e3c6d23f06554ba3e7a46059c7?reportId=1e5fafd144c27fb1aade3304680a7791a3302209136bce3d1239576816f48ce4&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does pydantic/httpx2 have?

pydantic/httpx2 has 22,378 total lines, including 16,519 code lines, 2,332 comment lines, and 3,527 blank lines.

### How was the pydantic/httpx2 line count measured?

OctoCounts resolved the public GitHub repository to commit fc6ff89cb900, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pydantic/httpx2?

This OctoCounts report was generated from main at commit fc6ff89cb900 on 2026-10-21T03:42:19.088174268Z.

## Similar repository reports

- [Tencent/WeMM-Embedding](https://octocounts.com/github/Tencent/WeMM-Embedding) — Python, 16,606 code lines
- [anthropics/skills](https://octocounts.com/github/anthropics/skills) — Python, 16,653 code lines
- [Lightmarey/Danus](https://octocounts.com/github/Lightmarey/Danus) — Python, 16,668 code lines
- [TeamProBots/Clonify](https://octocounts.com/github/TeamProBots/Clonify) — Python, 16,253 code lines
- [moona3k/mlx-qwen3-asr](https://octocounts.com/github/moona3k/mlx-qwen3-asr) — Python, 16,798 code lines
- [sara-czasak/py-simple-wrap](https://octocounts.com/github/sara-czasak/py-simple-wrap) — Python, 16,832 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)
