# leegahuyn/MathScopeCompute SLOC report

> As of 2026-10-20 (commit 50e3a6262faf), leegahuyn/MathScopeCompute contains 21,827,229 total lines: 21,589,881 code, 167,907 comments, 69,441 blank, across 8,581 files in 14 languages (top: JSON 96.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

leegahuyn/MathScopeCompute has 21,589,881 source lines of code out of 21,827,229 total lines across 8,581 files, counted from the main ref at commit 50e3a6262faf by the OctoCounts tokei engine on 2026-10-20. 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 leegahuyn/MathScopeCompute to commit 50e3a6262faf, 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 very large codebase by counted code lines. Code represents 98.9% of all lines, comments represent 0.8%, and the repository averages 2,516 code lines per file. JSON accounts for 96.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 2,602 | 20,735,030 | 20,735,030 | 0 | 0 |
| JavaScript | 4,364 | 770,753 | 681,331 | 62,799 | 26,623 |
| Lean | 417 | 104,406 | 89,228 | 3,222 | 11,956 |
| Python | 510 | 92,709 | 83,364 | 1,590 | 7,755 |
| HTML | 9 | 445 | 432 | 1 | 12 |
| C | 3 | 255 | 234 | 9 | 12 |
| YAML | 3 | 188 | 180 | 0 | 8 |
| TOML | 2 | 47 | 38 | 0 | 9 |
| CSS | 7 | 47 | 37 | 2 | 8 |
| Autoconf | 1 | 4 | 4 | 0 | 0 |
| INI | 1 | 2 | 2 | 0 | 0 |
| XML | 1 | 1 | 1 | 0 | 0 |

Top language (JSON 96.0%). Generated at 2026-10-20T06:24:16.263803527+00:00. Canonical report: https://octocounts.com/github/leegahuyn/MathScopeCompute

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/leegahuyn/MathScopeCompute/commit/50e3a6262faf0b4844356ce06af6fb28d83afcf8?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=9c0e0cb1f6e1ed51f7ce86977be92292faa6682f82cd5a838f7b10ec37192994).

## Report FAQ

### How many lines of code does leegahuyn/MathScopeCompute have?

leegahuyn/MathScopeCompute has 21,827,229 total lines, including 21,589,881 code lines, 167,907 comment lines, and 69,441 blank lines.

### How was the leegahuyn/MathScopeCompute line count measured?

OctoCounts resolved the public GitHub repository to commit 50e3a6262faf, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for leegahuyn/MathScopeCompute?

This OctoCounts report was generated from main at commit 50e3a6262faf on 2026-10-20T06:24:16.263803527+00:00.

## Similar repository reports

- [CrocSwap/integer-mult-bounds](https://octocounts.com/github/CrocSwap/integer-mult-bounds) — JSON, 22,919,012 code lines
- [jaredpalmer/kev](https://octocounts.com/github/jaredpalmer/kev) — JSON, 29,906,843 code lines
- [avifenesh/memra](https://octocounts.com/github/avifenesh/memra) — JSON, 14,758,115 code lines
- [foundryvtt/pf2e](https://octocounts.com/github/foundryvtt/pf2e) — JSON, 8,959,604 code lines
- [bojieli/ai-agent-book](https://octocounts.com/github/bojieli/ai-agent-book) — JSON, 8,864,100 code lines
- [botiverse/raft-source](https://octocounts.com/github/botiverse/raft-source) — JSON, 8,335,219 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)
- [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)
