# pallets/flask SLOC report

> As of 2026-09-16 (commit f61172b8dd3f), pallets/flask contains 12,661 total lines: 9,756 code, 1,167 comments, 1,738 blank, across 75 files in 10 languages (top: Python 79.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

pallets/flask has 9,756 source lines of code out of 12,661 total lines across 75 files, counted from the f61172b8dd3f962d33f25c50b2f5405e90ceffa5 ref at commit f61172b8dd3f by the OctoCounts tokei engine on 2026-09-16. 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 pallets/flask to commit f61172b8dd3f, 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 77.1% of all lines, comments represent 9.2%, and the repository averages 130 code lines per file. Python accounts for 79.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 34 | 9,642 | 7,703 | 625 | 1,314 |
| ReStructuredText | 3 | 1,729 | 1,426 | 0 | 303 |
| HTML | 11 | 258 | 240 | 0 | 18 |
| TOML | 4 | 214 | 180 | 0 | 34 |
| CSS | 1 | 134 | 109 | 0 | 25 |
| INI | 1 | 62 | 55 | 0 | 7 |
| Autoconf | 6 | 28 | 28 | 0 | 0 |
| SQL | 1 | 20 | 15 | 2 | 3 |
| Markdown | 3 | 70 | 0 | 51 | 19 |
| Plain Text | 11 | 504 | 0 | 489 | 15 |

Top language (Python 79.0%). Generated at 2026-09-16T09:23:06.909010509+00:00. Canonical report: https://octocounts.com/github/pallets/flask

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pallets/flask/commit/f61172b8dd3f962d33f25c50b2f5405e90ceffa5?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 pallets/flask have?

pallets/flask has 12,661 total lines, including 9,756 code lines, 1,167 comment lines, and 1,738 blank lines.

### How was the pallets/flask line count measured?

OctoCounts resolved the public GitHub repository to commit f61172b8dd3f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pallets/flask?

This OctoCounts report was generated from f61172b8dd3f962d33f25c50b2f5405e90ceffa5 at commit f61172b8dd3f on 2026-09-16T09:23:06.909010509+00:00.

## Similar repository reports

- [omry/omegaconf](https://octocounts.com/github/omry/omegaconf) — Python, 9,755 code lines
- [starchild-codes/AcoustiMap](https://octocounts.com/github/starchild-codes/AcoustiMap) — Python, 9,759 code lines
- [vial-kb/vial-gui](https://octocounts.com/github/vial-kb/vial-gui) — Python, 9,779 code lines
- [Maciek-roboblog/Claude-Code-Usage-Monitor](https://octocounts.com/github/Maciek-roboblog/Claude-Code-Usage-Monitor) — Python, 9,674 code lines
- [bytedance/trae-agent](https://octocounts.com/github/bytedance/trae-agent) — Python, 9,622 code lines
- [tobs-code/a-mem-mcp-server](https://octocounts.com/github/tobs-code/a-mem-mcp-server) — Python, 9,943 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)