# PRUNplanner/backend SLOC report

> PRUNplanner/backend: 15,361 code lines at commit b61cab38b4fc, counted with tokei-14.0.0 on 2026-10-21. Saved result 416373b4e14880c0daaa8440dcd690f174568c97d60c52286d468e00c4aeacda.

PRUNplanner/backend has 15,361 source lines of code out of 19,645 total lines across 261 files, counted from the main ref at commit b61cab38b4fc 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 PRUNplanner/backend to commit b61cab38b4fc, 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 78.2% of all lines, comments represent 4.8%, and the repository averages 59 code lines per file. Python accounts for 93.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 224 | 18,148 | 14,336 | 643 | 3,169 |
| HTML | 26 | 671 | 635 | 0 | 36 |
| YAML | 3 | 184 | 162 | 11 | 11 |
| Shell | 2 | 176 | 128 | 27 | 21 |
| TOML | 1 | 84 | 75 | 0 | 9 |
| Dockerfile | 1 | 26 | 18 | 0 | 8 |
| INI | 1 | 9 | 7 | 0 | 2 |
| Markdown | 3 | 347 | 0 | 267 | 80 |

Top language (Python 93.3%). Generated at 2026-10-21T02:19:51.254880643Z. Canonical report: https://octocounts.com/github/PRUNplanner/backend/commit/b61cab38b4fc20cb9b93ae09ee08da98130a91ec?reportId=416373b4e14880c0daaa8440dcd690f174568c97d60c52286d468e00c4aeacda&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/PRUNplanner/backend/commit/b61cab38b4fc20cb9b93ae09ee08da98130a91ec?reportId=416373b4e14880c0daaa8440dcd690f174568c97d60c52286d468e00c4aeacda&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 PRUNplanner/backend have?

PRUNplanner/backend has 19,645 total lines, including 15,361 code lines, 948 comment lines, and 3,336 blank lines.

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

OctoCounts resolved the public GitHub repository to commit b61cab38b4fc, 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 main at commit b61cab38b4fc on 2026-10-21T02:19:51.254880643Z.

## Similar repository reports

- [facefusion/facefusion](https://octocounts.com/github/facefusion/facefusion) — Python, 15,519 code lines
- [MTandHJ/freerec](https://octocounts.com/github/MTandHJ/freerec) — Python, 15,092 code lines
- [google/langextract](https://octocounts.com/github/google/langextract) — Python, 15,077 code lines
- [ServiceNow/BrowserGym](https://octocounts.com/github/ServiceNow/BrowserGym) — Python, 15,653 code lines
- [bikini/exploitarium](https://octocounts.com/github/bikini/exploitarium) — Python, 15,068 code lines
- [MuellerSeb/nml-tools](https://octocounts.com/github/MuellerSeb/nml-tools) — Python, 14,966 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)