# aksri648/CRM-XERA SLOC report

> As of 2026-09-16 (commit 96321274ee6f), aksri648/CRM-XERA contains 22,036 total lines: 19,255 code, 1,367 comments, 1,414 blank, across 141 files in 11 languages (top: JSON 41.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

aksri648/CRM-XERA has 19,255 source lines of code out of 22,036 total lines across 141 files, counted from the 96321274ee6fd0c5c60e2724a045da7da0aedaf2 ref at commit 96321274ee6f by the OctoCounts tokei engine on 2026-09-16. 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 aksri648/CRM-XERA to commit 96321274ee6f, 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 87.4% of all lines, comments represent 6.2%, and the repository averages 137 code lines per file. JSON accounts for 41.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 10 | 7,936 | 7,936 | 0 | 0 |
| JSX | 48 | 7,622 | 7,104 | 5 | 513 |
| JavaScript | 37 | 2,539 | 2,247 | 11 | 281 |
| Python | 33 | 2,100 | 1,859 | 2 | 239 |
| YAML | 1 | 42 | 37 | 0 | 5 |
| Dockerfile | 4 | 35 | 34 | 0 | 1 |
| CSS | 1 | 26 | 24 | 0 | 2 |
| HTML | 1 | 13 | 13 | 0 | 0 |
| SVG | 1 | 1 | 1 | 0 | 0 |
| Markdown | 2 | 1,712 | 0 | 1,339 | 373 |
| Plain Text | 3 | 10 | 0 | 10 | 0 |

Top language (JSON 41.2%). Generated at 2026-09-16T16:01:06.524545408+00:00. Canonical report: https://octocounts.com/github/aksri648/CRM-XERA

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/aksri648/CRM-XERA/commit/96321274ee6fd0c5c60e2724a045da7da0aedaf2?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 aksri648/CRM-XERA have?

aksri648/CRM-XERA has 22,036 total lines, including 19,255 code lines, 1,367 comment lines, and 1,414 blank lines.

### How was the aksri648/CRM-XERA line count measured?

OctoCounts resolved the public GitHub repository to commit 96321274ee6f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for aksri648/CRM-XERA?

This OctoCounts report was generated from 96321274ee6fd0c5c60e2724a045da7da0aedaf2 at commit 96321274ee6f on 2026-09-16T16:01:06.524545408+00:00.

## Similar repository reports

- [tommyb3ll/nightlife-app](https://octocounts.com/github/tommyb3ll/nightlife-app) — JSON, 19,245 code lines
- [fanly/fanlymenu](https://octocounts.com/github/fanly/fanlymenu) — JSON, 19,299 code lines
- [Lizhenghe-Chen/BunnyChen-DailyCost](https://octocounts.com/github/Lizhenghe-Chen/BunnyChen-DailyCost) — JSON, 19,425 code lines
- [mathematic-inc/vscode-latex](https://octocounts.com/github/mathematic-inc/vscode-latex) — JSON, 19,059 code lines
- [Code-4-Community/nefac](https://octocounts.com/github/Code-4-Community/nefac) — JSON, 19,494 code lines
- [gvergnaud/ts-pattern](https://octocounts.com/github/gvergnaud/ts-pattern) — JSON, 19,538 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)