# Satyam-hub25/Ai-resume-analyzer SLOC report

> As of 2026-09-30 (commit 681ef61d198b), Satyam-hub25/Ai-resume-analyzer contains 2,605 total lines: 2,087 code, 206 comments, 312 blank, across 18 files in 4 languages (top: Python 98.6%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Satyam-hub25/Ai-resume-analyzer has 2,087 source lines of code out of 2,605 total lines across 18 files, counted from the 681ef61d198b12cfb5bf00e04d7a19fce25c630a ref at commit 681ef61d198b by the OctoCounts tokei engine on 2026-09-30. 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 Satyam-hub25/Ai-resume-analyzer to commit 681ef61d198b, 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 80.1% of all lines, comments represent 7.9%, and the repository averages 116 code lines per file. Python accounts for 98.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 14 | 2,484 | 2,058 | 137 | 289 |
| JSON | 2 | 29 | 29 | 0 | 0 |
| Markdown | 1 | 77 | 0 | 55 | 22 |
| Plain Text | 1 | 15 | 0 | 14 | 1 |

Top language (Python 98.6%). Generated at 2026-09-30T10:15:39.588458220+00:00. Canonical report: https://octocounts.com/github/Satyam-hub25/Ai-resume-analyzer

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Satyam-hub25/Ai-resume-analyzer/commit/681ef61d198b12cfb5bf00e04d7a19fce25c630a?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=25b6be936e8f1e5e9277b58cc31a7de2f843ee9bd60df686ed8a83345bce1582).

## Report FAQ

### How many lines of code does Satyam-hub25/Ai-resume-analyzer have?

Satyam-hub25/Ai-resume-analyzer has 2,605 total lines, including 2,087 code lines, 206 comment lines, and 312 blank lines.

### How was the Satyam-hub25/Ai-resume-analyzer line count measured?

OctoCounts resolved the public GitHub repository to commit 681ef61d198b, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Satyam-hub25/Ai-resume-analyzer?

This OctoCounts report was generated from 681ef61d198b12cfb5bf00e04d7a19fce25c630a at commit 681ef61d198b on 2026-09-30T10:15:39.588458220+00:00.

## 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)
