# jianchang512/pyvideotrans SLOC report

> As of 2026-09-15 (commit 3eb3b2f3ab11), jianchang512/pyvideotrans contains 74,307 total lines: 59,804 code, 4,756 comments, 9,747 blank, across 590 files in 12 languages (top: Python 89.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

jianchang512/pyvideotrans has 59,804 source lines of code out of 74,307 total lines across 590 files, counted from the 3eb3b2f3ab11013632d5d35329620c861ce8df7c ref at commit 3eb3b2f3ab11 by the OctoCounts tokei engine on 2026-09-15. 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 jianchang512/pyvideotrans to commit 3eb3b2f3ab11, 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 80.5% of all lines, comments represent 6.4%, and the repository averages 101 code lines per file. Python accounts for 89.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 434 | 64,562 | 53,311 | 2,338 | 8,913 |
| JSON | 18 | 5,111 | 5,095 | 0 | 16 |
| YAML | 12 | 686 | 638 | 0 | 48 |
| TOML | 1 | 338 | 318 | 4 | 16 |
| CUDA | 1 | 246 | 185 | 36 | 25 |
| Nix | 1 | 149 | 128 | 5 | 16 |
| C Header | 2 | 121 | 82 | 33 | 6 |
| Dockerfile | 1 | 64 | 37 | 14 | 13 |
| Batch | 1 | 8 | 5 | 1 | 2 |
| C++ | 1 | 23 | 5 | 15 | 3 |
| Markdown | 3 | 834 | 0 | 602 | 232 |
| Plain Text | 115 | 2,165 | 0 | 1,708 | 457 |

Top language (Python 89.1%). Generated at 2026-09-15T05:54:48.597127429+00:00. Canonical report: https://octocounts.com/github/jianchang512/pyvideotrans

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/jianchang512/pyvideotrans/commit/3eb3b2f3ab11013632d5d35329620c861ce8df7c?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 jianchang512/pyvideotrans have?

jianchang512/pyvideotrans has 74,307 total lines, including 59,804 code lines, 4,756 comment lines, and 9,747 blank lines.

### How was the jianchang512/pyvideotrans line count measured?

OctoCounts resolved the public GitHub repository to commit 3eb3b2f3ab11, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for jianchang512/pyvideotrans?

This OctoCounts report was generated from 3eb3b2f3ab11013632d5d35329620c861ce8df7c at commit 3eb3b2f3ab11 on 2026-09-15T05:54:48.597127429+00:00.

## Similar repository reports

- [usestrix/strix](https://octocounts.com/github/usestrix/strix) — Python, 59,879 code lines
- [deepset-ai/haystack](https://octocounts.com/github/deepset-ai/haystack) — Python, 59,512 code lines
- [mnemosyne-oss/mnemosyne](https://octocounts.com/github/mnemosyne-oss/mnemosyne) — Python, 60,163 code lines
- [docling-project/docling](https://octocounts.com/github/docling-project/docling) — Python, 59,161 code lines
- [nvidia-cosmos/cosmos-transfer1](https://octocounts.com/github/nvidia-cosmos/cosmos-transfer1) — Python, 60,502 code lines
- [opendatalab/mineru](https://octocounts.com/github/opendatalab/mineru) — Python, 60,506 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)