# jhljx/RecSys-Industrial-Book SLOC report

> As of 2026-10-22 (commit a3faaada82dd), jhljx/RecSys-Industrial-Book contains 58,056 total lines: 43,080 code, 6,932 comments, 8,044 blank, across 311 files in 12 languages (top: Python 87.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

jhljx/RecSys-Industrial-Book has 43,080 source lines of code out of 58,056 total lines across 311 files, counted from the main ref at commit a3faaada82dd by the OctoCounts tokei engine on 2026-10-22. 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 jhljx/RecSys-Industrial-Book to commit a3faaada82dd, 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 74.2% of all lines, comments represent 11.9%, and the repository averages 139 code lines per file. Python accounts for 87.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 174 | 45,541 | 37,659 | 1,799 | 6,083 |
| Java | 15 | 6,576 | 4,348 | 1,305 | 923 |
| JSON | 3 | 330 | 330 | 0 | 0 |
| C Header | 4 | 497 | 301 | 123 | 73 |
| XML | 6 | 232 | 219 | 4 | 9 |
| C++ | 1 | 227 | 156 | 32 | 39 |
| Protocol Buffers | 2 | 60 | 33 | 18 | 9 |
| SQL | 1 | 28 | 20 | 7 | 1 |
| Shell | 1 | 21 | 13 | 4 | 4 |
| HTML | 1 | 1 | 1 | 0 | 0 |
| Markdown | 100 | 4,323 | 0 | 3,496 | 827 |
| Plain Text | 3 | 220 | 0 | 144 | 76 |

Top language (Python 87.4%). Generated at 2026-10-22T05:01:45.767711955+00:00. Canonical report: https://octocounts.com/github/jhljx/RecSys-Industrial-Book

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/jhljx/RecSys-Industrial-Book/commit/a3faaada82ddbf7d1acee2eb02b6d5d6de5760cf?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=fccc2237e6e3dba9b386d14b332de7fc6e3743b43c9255c5ad1d555460ab5365).

## Report FAQ

### How many lines of code does jhljx/RecSys-Industrial-Book have?

jhljx/RecSys-Industrial-Book has 58,056 total lines, including 43,080 code lines, 6,932 comment lines, and 8,044 blank lines.

### How was the jhljx/RecSys-Industrial-Book line count measured?

OctoCounts resolved the public GitHub repository to commit a3faaada82dd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for jhljx/RecSys-Industrial-Book?

This OctoCounts report was generated from main at commit a3faaada82dd on 2026-10-22T05:01:45.767711955+00:00.

## Similar repository reports

- [bkerler/mtkclient](https://octocounts.com/github/bkerler/mtkclient) — Python, 42,933 code lines
- [Kuaishou-OneRec/OneReason_Eval_Benchmark](https://octocounts.com/github/Kuaishou-OneRec/OneReason_Eval_Benchmark) — Python, 42,636 code lines
- [markqvist/Reticulum](https://octocounts.com/github/markqvist/Reticulum) — Python, 43,746 code lines
- [volcengine/volcengine-agent-toolkit](https://octocounts.com/github/volcengine/volcengine-agent-toolkit) — Python, 43,756 code lines
- [benji-carr/Seattle-Area-Public-Safety-Dashboard](https://octocounts.com/github/benji-carr/Seattle-Area-Public-Safety-Dashboard) — Python, 43,770 code lines
- [lstein/PhotoMapAI](https://octocounts.com/github/lstein/PhotoMapAI) — Python, 43,808 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)