# avioconsulting/mule-opentelemetry-module SLOC report

> As of 2026-09-18 (commit d22667c6e681), avioconsulting/mule-opentelemetry-module contains 16,271 total lines: 12,017 code, 2,344 comments, 1,910 blank, across 166 files in 11 languages (top: Java 76.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

avioconsulting/mule-opentelemetry-module has 12,017 source lines of code out of 16,271 total lines across 166 files, counted from the main ref at commit d22667c6e681 by the OctoCounts tokei engine on 2026-09-18. 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 avioconsulting/mule-opentelemetry-module to commit d22667c6e681, 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 73.9% of all lines, comments represent 14.4%, and the repository averages 72 code lines per file. Java accounts for 76.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 135 | 13,034 | 9,152 | 2,156 | 1,726 |
| XML | 19 | 2,430 | 2,317 | 51 | 62 |
| Shell | 2 | 324 | 221 | 66 | 37 |
| Batch | 1 | 188 | 153 | 0 | 35 |
| YAML | 1 | 90 | 85 | 0 | 5 |
| AsciiDoc | 2 | 95 | 70 | 0 | 25 |
| SQL | 1 | 15 | 12 | 0 | 3 |
| JSON | 2 | 6 | 6 | 0 | 0 |
| SVG | 1 | 1 | 1 | 0 | 0 |
| Markdown | 1 | 62 | 0 | 45 | 17 |
| Plain Text | 1 | 26 | 0 | 26 | 0 |

Top language (Java 76.2%). Generated at 2026-09-18T18:09:32.548502459+00:00. Canonical report: https://octocounts.com/github/avioconsulting/mule-opentelemetry-module

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/avioconsulting/mule-opentelemetry-module/commit/d22667c6e681c6b84e6bd4e490d10dc222672fb3?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 avioconsulting/mule-opentelemetry-module have?

avioconsulting/mule-opentelemetry-module has 16,271 total lines, including 12,017 code lines, 2,344 comment lines, and 1,910 blank lines.

### How was the avioconsulting/mule-opentelemetry-module line count measured?

OctoCounts resolved the public GitHub repository to commit d22667c6e681, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for avioconsulting/mule-opentelemetry-module?

This OctoCounts report was generated from main at commit d22667c6e681 on 2026-09-18T18:09:32.548502459+00:00.

## Similar repository reports

- [MatveiSlizkii/FinanceApp](https://octocounts.com/github/MatveiSlizkii/FinanceApp) — Java, 11,987 code lines
- [Code-4-Community/lucys-love-bus-backend](https://octocounts.com/github/Code-4-Community/lucys-love-bus-backend) — Java, 12,036 code lines
- [frt321for/shared-device-micro-ops](https://octocounts.com/github/frt321for/shared-device-micro-ops) — Java, 12,132 code lines
- [fengyu-eng/paimon-datalake](https://octocounts.com/github/fengyu-eng/paimon-datalake) — Java, 12,228 code lines
- [Vbalatki/finance-tracker](https://octocounts.com/github/Vbalatki/finance-tracker) — Java, 11,344 code lines
- [ENA-QWQ/MCAA](https://octocounts.com/github/ENA-QWQ/MCAA) — Java, 11,000 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)