# PRUNplanner/backend SLOC report

> As of 2026-09-07 (commit 291ad191c8cb), PRUNplanner/backend contains 12,393 total lines: 9,499 code, 522 comments, 2,372 blank, across 202 files in 8 languages (top: Python 94.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

PRUNplanner/backend has 9,499 source lines of code out of 12,393 total lines across 202 files, counted from the 291ad191c8cb11302de2e680513a13b6fb069ec6 ref at commit 291ad191c8cb by the OctoCounts tokei engine on 2026-09-07. 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 PRUNplanner/backend to commit 291ad191c8cb, 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 76.6% of all lines, comments represent 4.2%, and the repository averages 47 code lines per file. Python accounts for 94.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 186 | 11,660 | 9,013 | 380 | 2,267 |
| HTML | 9 | 289 | 266 | 0 | 23 |
| YAML | 1 | 110 | 103 | 1 | 6 |
| TOML | 1 | 87 | 77 | 0 | 10 |
| Dockerfile | 1 | 26 | 18 | 0 | 8 |
| Shell | 1 | 23 | 15 | 4 | 4 |
| INI | 1 | 9 | 7 | 0 | 2 |
| Markdown | 2 | 189 | 0 | 137 | 52 |

Top language (Python 94.9%). Generated at 2026-09-07T18:03:20.923054466+00:00. Canonical report: https://octocounts.com/github/PRUNplanner/backend

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/PRUNplanner/backend/commit/291ad191c8cb11302de2e680513a13b6fb069ec6?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 PRUNplanner/backend have?

PRUNplanner/backend has 12,393 total lines, including 9,499 code lines, 522 comment lines, and 2,372 blank lines.

### How was the PRUNplanner/backend line count measured?

OctoCounts resolved the public GitHub repository to commit 291ad191c8cb, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for PRUNplanner/backend?

This OctoCounts report was generated from 291ad191c8cb11302de2e680513a13b6fb069ec6 at commit 291ad191c8cb on 2026-09-07T18:03:20.923054466+00:00.

## Similar repository reports

- [LLMServe/DistServe](https://octocounts.com/github/LLMServe/DistServe) — Python, 9,496 code lines
- [snap-research/GRID](https://octocounts.com/github/snap-research/GRID) — Python, 9,482 code lines
- [venkatapgummadi/agentflow](https://octocounts.com/github/venkatapgummadi/agentflow) — Python, 9,475 code lines
- [Do1e/NJUcaptcha](https://octocounts.com/github/Do1e/NJUcaptcha) — Python, 9,459 code lines
- [NeLy-EPFL/flygym](https://octocounts.com/github/NeLy-EPFL/flygym) — Python, 9,552 code lines
- [bytedance/trae-agent](https://octocounts.com/github/bytedance/trae-agent) — Python, 9,622 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)
