# pascal-lab/Tai-e SLOC report

> pascal-lab/Tai-e: 54,471 code lines at commit 8f22e4196925, counted with tokei-12.1 on 2026-09-25. Saved result e6e3bd3877a84e19d2c40119f99745d6e7868118620e17f1dff56cd198060d28.

pascal-lab/Tai-e has 54,471 source lines of code out of 94,855 total lines across 882 files, counted from the master ref at commit 8f22e4196925 by the OctoCounts tokei engine on 2026-09-25. 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 pascal-lab/Tai-e to commit 8f22e4196925, 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 57.4% of all lines, comments represent 30.8%, and the repository averages 62 code lines per file. Java accounts for 93.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 758 | 90,126 | 50,872 | 28,564 | 10,690 |
| YAML | 71 | 2,616 | 2,315 | 63 | 238 |
| Kotlin | 10 | 642 | 497 | 86 | 59 |
| XML | 1 | 426 | 333 | 85 | 8 |
| AsciiDoc | 33 | 324 | 228 | 0 | 96 |
| Shell | 1 | 248 | 103 | 119 | 26 |
| Batch | 1 | 82 | 64 | 0 | 18 |
| HTML | 3 | 38 | 38 | 0 | 0 |
| CSS | 1 | 32 | 21 | 3 | 8 |
| Markdown | 3 | 321 | 0 | 258 | 63 |

Top language (Java 93.4%). Generated at 2026-09-25T09:04:55.887336189Z. Canonical report: https://octocounts.com/github/pascal-lab/Tai-e/commit/8f22e4196925c21e29cd48d53b60652a3ccb80da?reportId=e6e3bd3877a84e19d2c40119f99745d6e7868118620e17f1dff56cd198060d28&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pascal-lab/Tai-e/commit/8f22e4196925c21e29cd48d53b60652a3ccb80da?reportId=e6e3bd3877a84e19d2c40119f99745d6e7868118620e17f1dff56cd198060d28&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does pascal-lab/Tai-e have?

pascal-lab/Tai-e has 94,855 total lines, including 54,471 code lines, 29,178 comment lines, and 11,206 blank lines.

### How was the pascal-lab/Tai-e line count measured?

OctoCounts resolved the public GitHub repository to commit 8f22e4196925, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pascal-lab/Tai-e?

This OctoCounts report was generated from master at commit 8f22e4196925 on 2026-09-25T09:04:55.887336189Z.

## Similar repository reports

- [emanuele-f/PCAPdroid](https://octocounts.com/github/emanuele-f/PCAPdroid) — Java, 56,031 code lines
- [openmrs/openmrs-module-reporting](https://octocounts.com/github/openmrs/openmrs-module-reporting) — Java, 56,227 code lines
- [dromara/RuoYi-Vue-Plus](https://octocounts.com/github/dromara/RuoYi-Vue-Plus) — Java, 56,366 code lines
- [fossSquad/tiktokyou](https://octocounts.com/github/fossSquad/tiktokyou) — Java, 51,815 code lines
- [junit-team/junit-framework](https://octocounts.com/github/junit-team/junit-framework) — Java, 57,885 code lines
- [vogonsorg/BuildGDX](https://octocounts.com/github/vogonsorg/BuildGDX) — Java, 59,875 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)
- [MongoDB vs PostgreSQL](https://octocounts.com/compare/mongodb-vs-postgres)
- [Kubernetes vs Docker Compose](https://octocounts.com/compare/kubernetes-vs-docker-compose)
- [Kubernetes vs Terraform](https://octocounts.com/compare/kubernetes-vs-terraform)
- [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)