# wala/WALA SLOC report

> As of 2026-10-22 (commit 7f1d0e3745ca), wala/WALA contains 287,129 total lines: 187,239 code, 65,274 comments, 34,616 blank, across 1,922 files in 15 languages (top: Java 95.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

wala/WALA has 187,239 source lines of code out of 287,129 total lines across 1,922 files, counted from the master ref at commit 7f1d0e3745ca 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 wala/WALA to commit 7f1d0e3745ca, 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 large codebase by counted code lines. Code represents 65.2% of all lines, comments represent 22.7%, and the repository averages 97 code lines per file. Java accounts for 95.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 1,812 | 275,761 | 179,455 | 63,242 | 33,064 |
| Kotlin | 53 | 3,826 | 2,743 | 603 | 480 |
| XML | 8 | 2,432 | 2,302 | 78 | 52 |
| JavaScript | 6 | 1,779 | 1,206 | 165 | 408 |
| C++ | 6 | 966 | 758 | 10 | 198 |
| C Header | 8 | 566 | 413 | 27 | 126 |
| Shell | 4 | 313 | 133 | 141 | 39 |
| Batch | 1 | 112 | 73 | 20 | 19 |
| TOML | 1 | 67 | 57 | 8 | 2 |
| Python | 1 | 73 | 50 | 10 | 13 |
| BASH | 2 | 48 | 29 | 10 | 9 |
| OCaml | 1 | 27 | 12 | 10 | 5 |

Top language (Java 95.8%). Generated at 2026-10-22T06:24:13.876483542+00:00. Canonical report: https://octocounts.com/github/wala/WALA

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/wala/WALA/commit/7f1d0e3745ca6c587d511eae0e7a5daf5dce886a?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=c4b0288144842bae77f15ff2f64ade94fac0544eacb8f4a5b290306aaa301255).

## Report FAQ

### How many lines of code does wala/WALA have?

wala/WALA has 287,129 total lines, including 187,239 code lines, 65,274 comment lines, and 34,616 blank lines.

### How was the wala/WALA line count measured?

OctoCounts resolved the public GitHub repository to commit 7f1d0e3745ca, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for wala/WALA?

This OctoCounts report was generated from master at commit 7f1d0e3745ca on 2026-10-22T06:24:13.876483542+00:00.

## Similar repository reports

- [ReChronoRain/HyperCeiler](https://octocounts.com/github/ReChronoRain/HyperCeiler) — Java, 190,854 code lines
- [jenkinsci/jenkins](https://octocounts.com/github/jenkinsci/jenkins) — Java, 194,657 code lines
- [bazelbuild/bazel](https://octocounts.com/github/bazelbuild/bazel) — Java, 195,189 code lines
- [apache/dolphinscheduler](https://octocounts.com/github/apache/dolphinscheduler) — Java, 195,960 code lines
- [frankframework/frankframework](https://octocounts.com/github/frankframework/frankframework) — Java, 198,101 code lines
- [broadinstitute/gatk](https://octocounts.com/github/broadinstitute/gatk) — Java, 204,328 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)
