# Davood121/Personality-Ai SLOC report

> As of 2026-08-29 (commit d32db3204bcd), Davood121/Personality-Ai contains 85,491 total lines: 79,947 code, 2,135 comments, 3,409 blank, across 67 files in 5 languages (top: JSON 83.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Davood121/Personality-Ai has 79,947 source lines of code out of 85,491 total lines across 67 files, counted from the main ref at commit d32db3204bcd by the OctoCounts tokei engine on 2026-08-29. 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 Davood121/Personality-Ai to commit d32db3204bcd, 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 93.5% of all lines, comments represent 2.5%, and the repository averages 1,193 code lines per file. JSON accounts for 83.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 18 | 66,963 | 66,963 | 0 | 0 |
| Python | 40 | 17,262 | 12,950 | 1,196 | 3,116 |
| Batch | 3 | 36 | 34 | 0 | 2 |
| Markdown | 5 | 1,199 | 0 | 911 | 288 |
| Plain Text | 1 | 31 | 0 | 28 | 3 |

Top language (JSON 83.8%). Generated at 2026-08-29T14:56:48.461190767+00:00. Canonical report: https://octocounts.com/github/Davood121/Personality-Ai

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Davood121/Personality-Ai/commit/d32db3204bcd595864b410c032f7dce7b65282f3?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 Davood121/Personality-Ai have?

Davood121/Personality-Ai has 85,491 total lines, including 79,947 code lines, 2,135 comment lines, and 3,409 blank lines.

### How was the Davood121/Personality-Ai line count measured?

OctoCounts resolved the public GitHub repository to commit d32db3204bcd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Davood121/Personality-Ai?

This OctoCounts report was generated from main at commit d32db3204bcd on 2026-08-29T14:56:48.461190767+00:00.

## Similar repository reports

- [dsh-market/dsh-market](https://octocounts.com/github/dsh-market/dsh-market) — JSON, 79,889 code lines
- [aarjn/solana-programs-list](https://octocounts.com/github/aarjn/solana-programs-list) — JSON, 82,734 code lines
- [Ansh-699/VedaAi](https://octocounts.com/github/Ansh-699/VedaAi) — JSON, 77,153 code lines
- [openstyles/stylus](https://octocounts.com/github/openstyles/stylus) — JSON, 76,762 code lines
- [xinglie/report-designer](https://octocounts.com/github/xinglie/report-designer) — JSON, 75,568 code lines
- [win12-online/win12](https://octocounts.com/github/win12-online/win12) — JSON, 84,488 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)