# OpenRefine/OpenRefine SLOC report

> As of 2026-10-20 (commit eede678f5d57), OpenRefine/OpenRefine contains 194,567 total lines: 140,263 code, 35,054 comments, 19,250 blank, across 1,238 files in 16 languages (top: Java 44.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

OpenRefine/OpenRefine has 140,263 source lines of code out of 194,567 total lines across 1,238 files, counted from the master ref at commit eede678f5d57 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 OpenRefine/OpenRefine to commit eede678f5d57, 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 72.1% of all lines, comments represent 18.0%, and the repository averages 113 code lines per file. Java accounts for 44.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 698 | 102,475 | 62,847 | 26,788 | 12,840 |
| JavaScript | 127 | 43,466 | 33,836 | 5,097 | 4,533 |
| JSON | 145 | 27,018 | 27,017 | 0 | 1 |
| XML | 25 | 4,961 | 4,546 | 260 | 155 |
| CSS | 53 | 6,930 | 4,438 | 1,520 | 972 |
| SVG | 66 | 3,779 | 3,636 | 65 | 78 |
| HTML | 89 | 3,248 | 3,058 | 55 | 135 |
| BASH | 1 | 733 | 598 | 27 | 108 |
| Batch | 1 | 288 | 241 | 0 | 47 |
| Shell | 1 | 46 | 24 | 12 | 10 |
| Apache Velocity | 2 | 14 | 7 | 6 | 1 |
| INI | 2 | 60 | 6 | 42 | 12 |

Top language (Java 44.8%). Generated at 2026-10-20T00:46:31.284539487+00:00. Canonical report: https://octocounts.com/github/OpenRefine/OpenRefine

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/OpenRefine/OpenRefine/commit/eede678f5d57c21688de28ff83c50f5065ba87d4?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=bcdfe64e2c50ced6c5137ba95714f0b873be2188461eb03cc9715953c9876f41).

## Report FAQ

### How many lines of code does OpenRefine/OpenRefine have?

OpenRefine/OpenRefine has 194,567 total lines, including 140,263 code lines, 35,054 comment lines, and 19,250 blank lines.

### How was the OpenRefine/OpenRefine line count measured?

OctoCounts resolved the public GitHub repository to commit eede678f5d57, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for OpenRefine/OpenRefine?

This OctoCounts report was generated from master at commit eede678f5d57 on 2026-10-20T00:46:31.284539487+00:00.

## Similar repository reports

- [apache/polaris](https://octocounts.com/github/apache/polaris) — Java, 140,699 code lines
- [AppliedEnergistics/Applied-Energistics-2](https://octocounts.com/github/AppliedEnergistics/Applied-Energistics-2) — Java, 141,413 code lines
- [Dwinovo/minecraft-numen](https://octocounts.com/github/Dwinovo/minecraft-numen) — Java, 137,172 code lines
- [skylot/jadx](https://octocounts.com/github/skylot/jadx) — Java, 135,733 code lines
- [Anuken/Mindustry](https://octocounts.com/github/Anuken/Mindustry) — Java, 146,926 code lines
- [Nibelungorum/ModularMachinery-Community-Refoxed](https://octocounts.com/github/Nibelungorum/ModularMachinery-Community-Refoxed) — Java, 128,695 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)
