# Vaibhavs10/insanely-fast-whisper SLOC report

> As of 2026-09-17 (commit 0fed9a41fe8a), Vaibhavs10/insanely-fast-whisper contains 766 total lines: 468 code, 155 comments, 143 blank, across 12 files in 4 languages (top: Python 81.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Vaibhavs10/insanely-fast-whisper has 468 source lines of code out of 766 total lines across 12 files, counted from the 0fed9a41fe8a929698ee35aa2030793e649f21bc ref at commit 0fed9a41fe8a by the OctoCounts tokei engine on 2026-09-17. 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 Vaibhavs10/insanely-fast-whisper to commit 0fed9a41fe8a, 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 61.1% of all lines, comments represent 20.2%, and the repository averages 39 code lines per file. Python accounts for 81.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 7 | 481 | 380 | 21 | 80 |
| Jupyter Notebooks | 3 | 108 | 62 | 30 | 16 |
| TOML | 1 | 31 | 26 | 1 | 4 |
| Markdown | 1 | 146 | 0 | 103 | 43 |

Top language (Python 81.2%). Generated at 2026-09-17T00:50:09.680842436+00:00. Canonical report: https://octocounts.com/github/Vaibhavs10/insanely-fast-whisper

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Vaibhavs10/insanely-fast-whisper/commit/0fed9a41fe8a929698ee35aa2030793e649f21bc?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 Vaibhavs10/insanely-fast-whisper have?

Vaibhavs10/insanely-fast-whisper has 766 total lines, including 468 code lines, 155 comment lines, and 143 blank lines.

### How was the Vaibhavs10/insanely-fast-whisper line count measured?

OctoCounts resolved the public GitHub repository to commit 0fed9a41fe8a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Vaibhavs10/insanely-fast-whisper?

This OctoCounts report was generated from 0fed9a41fe8a929698ee35aa2030793e649f21bc at commit 0fed9a41fe8a on 2026-09-17T00:50:09.680842436+00:00.

## Similar repository reports

- [cms-cat/mkdocs-header-dropdown-plugin](https://octocounts.com/github/cms-cat/mkdocs-header-dropdown-plugin) — Python, 465 code lines
- [sturdy-dev/semantic-code-search](https://octocounts.com/github/sturdy-dev/semantic-code-search) — Python, 455 code lines
- [mocha8686/pcm_backend](https://octocounts.com/github/mocha8686/pcm_backend) — Python, 447 code lines
- [handsomeZR-netizen/autodl-experiment-skill](https://octocounts.com/github/handsomeZR-netizen/autodl-experiment-skill) — Python, 504 code lines
- [daveebbelaar/python-whatsapp-bot](https://octocounts.com/github/daveebbelaar/python-whatsapp-bot) — Python, 422 code lines
- [vinnylarouge/jevlike](https://octocounts.com/github/vinnylarouge/jevlike) — Python, 523 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)