# fernando-ace/RampLab SLOC report

> As of 2026-10-17 (commit 14d63061ef68), fernando-ace/RampLab contains 94,390 total lines: 90,334 code, 915 comments, 3,141 blank, across 359 files in 17 languages (top: JSON 57.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

fernando-ace/RampLab has 90,334 source lines of code out of 94,390 total lines across 359 files, counted from the main ref at commit 14d63061ef68 by the OctoCounts tokei engine on 2026-10-17. 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 fernando-ace/RampLab to commit 14d63061ef68, 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 95.7% of all lines, comments represent 1.0%, and the repository averages 252 code lines per file. JSON accounts for 57.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 70 | 51,454 | 51,454 | 0 | 0 |
| Python | 92 | 18,545 | 16,899 | 71 | 1,575 |
| C++ | 45 | 15,274 | 14,481 | 97 | 696 |
| C++ Header | 35 | 3,181 | 2,784 | 32 | 365 |
| YAML | 55 | 2,780 | 2,717 | 4 | 59 |
| JavaScript | 3 | 761 | 759 | 0 | 2 |
| C Header | 9 | 447 | 397 | 0 | 50 |
| CMake | 5 | 319 | 278 | 4 | 37 |
| PowerShell | 5 | 213 | 180 | 7 | 26 |
| HTML | 3 | 156 | 151 | 0 | 5 |
| C# | 4 | 81 | 73 | 0 | 8 |
| CSS | 6 | 70 | 65 | 0 | 5 |

Top language (JSON 57.0%). Generated at 2026-10-17T21:05:59.543919232+00:00. Canonical report: https://octocounts.com/github/fernando-ace/RampLab

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/fernando-ace/RampLab/commit/14d63061ef6884733209de5311e2362d7972bbc2?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=1fbe777376214998455fba672fa20cd9bfba81f86abb9de8e69165340fb396c7).

## Report FAQ

### How many lines of code does fernando-ace/RampLab have?

fernando-ace/RampLab has 94,390 total lines, including 90,334 code lines, 915 comment lines, and 3,141 blank lines.

### How was the fernando-ace/RampLab line count measured?

OctoCounts resolved the public GitHub repository to commit 14d63061ef68, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for fernando-ace/RampLab?

This OctoCounts report was generated from main at commit 14d63061ef68 on 2026-10-17T21:05:59.543919232+00:00.

## Similar repository reports

- [Kentucky-ai/opentakeoff](https://octocounts.com/github/Kentucky-ai/opentakeoff) — JSON, 90,533 code lines
- [AnInsomniacy/rayburst](https://octocounts.com/github/AnInsomniacy/rayburst) — JSON, 90,566 code lines
- [guanmo-ai/awesome-ai-motion](https://octocounts.com/github/guanmo-ai/awesome-ai-motion) — JSON, 91,638 code lines
- [wmpeng/codingplan](https://octocounts.com/github/wmpeng/codingplan) — JSON, 87,877 code lines
- [juanssilveira/evandro.watch-app](https://octocounts.com/github/juanssilveira/evandro.watch-app) — JSON, 92,913 code lines
- [0xAnonsal/aml-thesis](https://octocounts.com/github/0xAnonsal/aml-thesis) — JSON, 87,772 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)