# monkeytypegame/monkeytype SLOC report

> As of 2026-09-11 (commit 70754bc9ce0b), monkeytypegame/monkeytype contains 7,463,553 total lines: 7,412,535 code, 33,911 comments, 17,107 blank, across 1,408 files in 15 languages (top: JSON 98.6%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

monkeytypegame/monkeytype has 7,412,535 source lines of code out of 7,463,553 total lines across 1,408 files, counted from the 70754bc9ce0b8a754a4ef11a4e55f3a89496460d ref at commit 70754bc9ce0b by the OctoCounts tokei engine on 2026-09-11. 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 monkeytypegame/monkeytype to commit 70754bc9ce0b, 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 99.3% of all lines, comments represent 0.5%, and the repository averages 5,265 code lines per file. JSON accounts for 98.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 772 | 7,307,463 | 7,307,448 | 0 | 15 |
| TypeScript | 416 | 72,597 | 62,837 | 2,722 | 7,038 |
| YAML | 7 | 21,445 | 19,428 | 12 | 2,005 |
| Sass | 38 | 10,069 | 8,779 | 454 | 836 |
| HTML | 24 | 7,337 | 7,051 | 189 | 97 |
| TSX | 34 | 3,379 | 3,077 | 22 | 280 |
| CSS | 73 | 3,068 | 2,600 | 73 | 395 |
| JavaScript | 13 | 1,356 | 1,024 | 139 | 193 |
| Lua | 5 | 215 | 161 | 5 | 49 |
| Dockerfile | 2 | 81 | 43 | 16 | 22 |
| XML | 2 | 42 | 41 | 1 | 0 |
| Shell | 4 | 62 | 35 | 12 | 15 |

Top language (JSON 98.6%). Generated at 2026-09-11T09:01:05.840837173+00:00. Canonical report: https://octocounts.com/github/monkeytypegame/monkeytype

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/monkeytypegame/monkeytype/commit/70754bc9ce0b8a754a4ef11a4e55f3a89496460d?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 monkeytypegame/monkeytype have?

monkeytypegame/monkeytype has 7,463,553 total lines, including 7,412,535 code lines, 33,911 comment lines, and 17,107 blank lines.

### How was the monkeytypegame/monkeytype line count measured?

OctoCounts resolved the public GitHub repository to commit 70754bc9ce0b, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for monkeytypegame/monkeytype?

This OctoCounts report was generated from 70754bc9ce0b8a754a4ef11a4e55f3a89496460d at commit 70754bc9ce0b on 2026-09-11T09:01:05.840837173+00:00.

## Similar repository reports

- [avifenesh/memra](https://octocounts.com/github/avifenesh/memra) — JSON, 7,702,231 code lines
- [google/fhir](https://octocounts.com/github/google/fhir) — JSON, 6,037,330 code lines
- [bojieli/ai-agent-book](https://octocounts.com/github/bojieli/ai-agent-book) — JSON, 8,827,064 code lines
- [teamchong/pxpipe](https://octocounts.com/github/teamchong/pxpipe) — JSON, 5,800,247 code lines
- [paperclipai/paperclip](https://octocounts.com/github/paperclipai/paperclip) — JSON, 5,440,213 code lines
- [meshery/meshery](https://octocounts.com/github/meshery/meshery) — JSON, 4,708,063 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)