# HaoyueQin/mars-rover-path-planning-simulation SLOC report

> As of 2026-09-16 (commit 10e52904d67c), HaoyueQin/mars-rover-path-planning-simulation contains 2,375 total lines: 1,564 code, 398 comments, 413 blank, across 18 files in 3 languages (top: Python 100.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

HaoyueQin/mars-rover-path-planning-simulation has 1,564 source lines of code out of 2,375 total lines across 18 files, counted from the 10e52904d67ce7f02c04229a1d1f192336c91fcb ref at commit 10e52904d67c 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 HaoyueQin/mars-rover-path-planning-simulation to commit 10e52904d67c, 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 small codebase by counted code lines. Code represents 65.9% of all lines, comments represent 16.8%, and the repository averages 87 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 13 | 2,021 | 1,564 | 144 | 313 |
| Markdown | 4 | 345 | 0 | 245 | 100 |
| Plain Text | 1 | 9 | 0 | 9 | 0 |

Top language (Python 100.0%). Generated at 2026-09-16T22:10:57.805162236+00:00. Canonical report: https://octocounts.com/github/HaoyueQin/mars-rover-path-planning-simulation

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/HaoyueQin/mars-rover-path-planning-simulation/commit/10e52904d67ce7f02c04229a1d1f192336c91fcb?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 HaoyueQin/mars-rover-path-planning-simulation have?

HaoyueQin/mars-rover-path-planning-simulation has 2,375 total lines, including 1,564 code lines, 398 comment lines, and 413 blank lines.

### How was the HaoyueQin/mars-rover-path-planning-simulation line count measured?

OctoCounts resolved the public GitHub repository to commit 10e52904d67c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for HaoyueQin/mars-rover-path-planning-simulation?

This OctoCounts report was generated from 10e52904d67ce7f02c04229a1d1f192336c91fcb at commit 10e52904d67c on 2026-09-16T22:10:57.805162236+00:00.

## Similar repository reports

- [Pluto-Mo/personal-career-os](https://octocounts.com/github/Pluto-Mo/personal-career-os) — Python, 1,569 code lines
- [zouchenzhen/thesis-defense-pptx-skill](https://octocounts.com/github/zouchenzhen/thesis-defense-pptx-skill) — Python, 1,570 code lines
- [superallen13/TRN-R1-Zero](https://octocounts.com/github/superallen13/TRN-R1-Zero) — Python, 1,556 code lines
- [ayghri/i-have-adhd](https://octocounts.com/github/ayghri/i-have-adhd) — Python, 1,544 code lines
- [wz1119/Codex-Minecraft-Gameplay](https://octocounts.com/github/wz1119/Codex-Minecraft-Gameplay) — Python, 1,523 code lines
- [vedantparmar12/airbnb-mcp](https://octocounts.com/github/vedantparmar12/airbnb-mcp) — Python, 1,607 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)