# CodingSkywalker/budget-tracker SLOC report

> As of 2026-09-11 (commit 77ac373ee61e), CodingSkywalker/budget-tracker contains 167 total lines: 57 code, 68 comments, 42 blank, across 1 files in 1 languages (top: Python 100.0%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving CodingSkywalker/budget-tracker to commit 77ac373ee61e, 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 34.1% of all lines, comments represent 40.7%, and the repository averages 57 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 1 | 167 | 57 | 68 | 42 |

Top language (Python 100.0%). Generated at 2026-09-11T02:16:50.767751771+00:00. Canonical report: https://octocounts.com/github/CodingSkywalker/budget-tracker

## Report FAQ

### How many lines of code does CodingSkywalker/budget-tracker have?

CodingSkywalker/budget-tracker has 167 total lines, including 57 code lines, 68 comment lines, and 42 blank lines.

### How was the CodingSkywalker/budget-tracker line count measured?

OctoCounts resolved the public GitHub repository to commit 77ac373ee61e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for CodingSkywalker/budget-tracker?

This OctoCounts report was generated from 77ac373ee61e2029af51b8032fbad2f242203265 at commit 77ac373ee61e on 2026-09-11T02:16:50.767751771+00:00.

## Similar repository reports

- [Dhravya/TypeMonkey](https://octocounts.com/github/Dhravya/TypeMonkey) — Python, 63 code lines
- [bstashchuk/docker-for-beginners-ru](https://octocounts.com/github/bstashchuk/docker-for-beginners-ru) — Python, 51 code lines
- [langchain-ai/langgraph-example](https://octocounts.com/github/langchain-ai/langgraph-example) — Python, 65 code lines
- [Gabrieliam42/LLMs_GPU_VRAM_Calculator](https://octocounts.com/github/Gabrieliam42/LLMs_GPU_VRAM_Calculator) — Python, 66 code lines
- [CodingSkywalker/network_diagnostic_tool](https://octocounts.com/github/CodingSkywalker/network_diagnostic_tool) — Python, 48 code lines
- [OpenMinis/AwesomeMinis](https://octocounts.com/github/OpenMinis/AwesomeMinis) — Python, 47 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)