MKultra6969/MK_TelegaGFY SLOC report
As of 2026-05-31 (commit 6cd3fac5b1c7), MKultra6969/MK_TelegaGFY contains 3,708 total lines: 2,991 code, 164 comments, 553 blank, across 39 files in 5 languages (top: Python 97.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving MKultra6969/MK_TelegaGFY to commit 6cd3fac5b1c7, 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 80.7% of all lines, comments represent 4.4%, and the repository averages 77 code lines per file. Python accounts for 97.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 35 | 3434 | 2926 | 25 | 483 |
| YAML | 1 | 34 | 33 | 0 | 1 |
| TOML | 1 | 26 | 22 | 0 | 4 |
| Dockerfile | 1 | 16 | 10 | 0 | 6 |
| Markdown | 1 | 198 | 0 | 139 | 59 |
Top language (Python 97.8%). Generated at 2026-05-31T07:07:58.292423804+00:00.
Report FAQ
How many lines of code does MKultra6969/MK_TelegaGFY have?
MKultra6969/MK_TelegaGFY has 3,708 total lines, including 2,991 code lines, 164 comment lines, and 553 blank lines.
How was the MKultra6969/MK_TelegaGFY line count measured?
OctoCounts resolved the public GitHub repository to commit 6cd3fac5b1c7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for MKultra6969/MK_TelegaGFY?
This OctoCounts report was generated from main at commit 6cd3fac5b1c7 on 2026-05-31T07:07:58.292423804+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- PolyAI-LDN/conversational-datasets — Python, 2,965 code lines
- trinadhthatakula/TelegramDownloader — Python, 3,017 code lines
- twoolie/NBT — Python, 3,027 code lines
- Hisn00w/ASu-skills — Python, 3,033 code lines
- rudrabha/wav2lip — Python, 3,034 code lines
- Bergasha/kino-swipe — Python, 2,945 code lines