# lstein/PhotoMapAI SLOC report

> As of 2026-10-17 (commit e628782aea40), lstein/PhotoMapAI contains 59,221 total lines: 43,807 code, 9,830 comments, 5,584 blank, across 179 files in 16 languages (top: Python 39.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

lstein/PhotoMapAI has 43,807 source lines of code out of 59,221 total lines across 179 files, counted from the master ref at commit e628782aea40 by the OctoCounts tokei engine on 2026-10-17. 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 lstein/PhotoMapAI to commit e628782aea40, 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 74.0% of all lines, comments represent 16.6%, and the repository averages 245 code lines per file. Python accounts for 39.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 62 | 22,319 | 17,163 | 2,554 | 2,602 |
| JavaScript | 45 | 20,253 | 14,073 | 4,245 | 1,935 |
| JSON | 2 | 5,735 | 5,735 | 0 | 0 |
| CSS | 22 | 4,844 | 3,827 | 458 | 559 |
| HTML | 19 | 1,890 | 1,672 | 147 | 71 |
| Go | 8 | 917 | 664 | 169 | 84 |
| Shell | 3 | 334 | 219 | 62 | 53 |
| PowerShell | 1 | 209 | 161 | 14 | 34 |
| TOML | 1 | 143 | 116 | 17 | 10 |
| Makefile | 1 | 132 | 94 | 22 | 16 |
| YAML | 2 | 55 | 50 | 0 | 5 |
| Dockerfile | 1 | 34 | 15 | 13 | 6 |

Top language (Python 39.2%). Generated at 2026-10-17T20:07:14.855200989+00:00. Canonical report: https://octocounts.com/github/lstein/PhotoMapAI

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/lstein/PhotoMapAI/commit/e628782aea4044aa505b7fa55b560d609d4eaf7f?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&reportId=b5fa7816d4b34ddc657244af2d604e4bf91a1c2988b2dab96819ec421a40b0b1).

## Report FAQ

### How many lines of code does lstein/PhotoMapAI have?

lstein/PhotoMapAI has 59,221 total lines, including 43,807 code lines, 9,830 comment lines, and 5,584 blank lines.

### How was the lstein/PhotoMapAI line count measured?

OctoCounts resolved the public GitHub repository to commit e628782aea40, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for lstein/PhotoMapAI?

This OctoCounts report was generated from master at commit e628782aea40 on 2026-10-17T20:07:14.855200989+00:00.

## Similar repository reports

- [benji-carr/Seattle-Area-Public-Safety-Dashboard](https://octocounts.com/github/benji-carr/Seattle-Area-Public-Safety-Dashboard) — Python, 43,770 code lines
- [volcengine/volcengine-agent-toolkit](https://octocounts.com/github/volcengine/volcengine-agent-toolkit) — Python, 43,756 code lines
- [markqvist/Reticulum](https://octocounts.com/github/markqvist/Reticulum) — Python, 43,746 code lines
- [jhljx/RecSys-Industrial-Book](https://octocounts.com/github/jhljx/RecSys-Industrial-Book) — Python, 43,080 code lines
- [simonw/datasette](https://octocounts.com/github/simonw/datasette) — Python, 44,568 code lines
- [bkerler/mtkclient](https://octocounts.com/github/bkerler/mtkclient) — Python, 42,933 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)