# kiroreda963/Study_Buddy_Matcher_Project SLOC report

> As of 2026-10-05 (commit 04625777eebf), kiroreda963/Study_Buddy_Matcher_Project contains 35,706 total lines: 32,968 code, 1,033 comments, 1,705 blank, across 139 files in 12 languages (top: JSON 51.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

kiroreda963/Study_Buddy_Matcher_Project has 32,968 source lines of code out of 35,706 total lines across 139 files, counted from the 04625777eebfba770acb74208719f271fcd6b4c9 ref at commit 04625777eebf by the OctoCounts tokei engine on 2026-10-05. 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 kiroreda963/Study_Buddy_Matcher_Project to commit 04625777eebf, 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 92.3% of all lines, comments represent 2.9%, and the repository averages 237 code lines per file. JSON accounts for 51.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 14 | 16,957 | 16,957 | 0 | 0 |
| JSX | 25 | 11,862 | 11,116 | 76 | 670 |
| JavaScript | 48 | 4,110 | 3,585 | 64 | 461 |
| CSS | 5 | 893 | 771 | 3 | 119 |
| YAML | 1 | 141 | 133 | 0 | 8 |
| SQL | 5 | 211 | 130 | 40 | 41 |
| SVG | 18 | 114 | 102 | 12 | 0 |
| Dockerfile | 7 | 187 | 91 | 33 | 63 |
| TypeScript | 6 | 82 | 66 | 10 | 6 |
| HTML | 1 | 13 | 13 | 0 | 0 |
| TOML | 4 | 12 | 4 | 8 | 0 |
| Markdown | 5 | 1,124 | 0 | 787 | 337 |

Top language (JSON 51.4%). Generated at 2026-10-05T17:15:27.975243115+00:00. Canonical report: https://octocounts.com/github/kiroreda963/Study_Buddy_Matcher_Project

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/kiroreda963/Study_Buddy_Matcher_Project/commit/04625777eebfba770acb74208719f271fcd6b4c9?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 kiroreda963/Study_Buddy_Matcher_Project have?

kiroreda963/Study_Buddy_Matcher_Project has 35,706 total lines, including 32,968 code lines, 1,033 comment lines, and 1,705 blank lines.

### How was the kiroreda963/Study_Buddy_Matcher_Project line count measured?

OctoCounts resolved the public GitHub repository to commit 04625777eebf, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for kiroreda963/Study_Buddy_Matcher_Project?

This OctoCounts report was generated from 04625777eebfba770acb74208719f271fcd6b4c9 at commit 04625777eebf on 2026-10-05T17:15:27.975243115+00:00.

## Similar repository reports

- [0xvikram/TipUp](https://octocounts.com/github/0xvikram/TipUp) — JSON, 33,008 code lines
- [devicons/devicon](https://octocounts.com/github/devicons/devicon) — JSON, 33,117 code lines
- [idurar/idurar-erp-crm](https://octocounts.com/github/idurar/idurar-erp-crm) — JSON, 33,164 code lines
- [Godly000/Chester](https://octocounts.com/github/Godly000/Chester) — JSON, 33,294 code lines
- [immerjs/immer](https://octocounts.com/github/immerjs/immer) — JSON, 33,478 code lines
- [purujawa06-bot/Na-api](https://octocounts.com/github/purujawa06-bot/Na-api) — JSON, 32,359 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)
- [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)
