# unprofessional-giser/NISARAPP SLOC report

> As of 2026-09-06 (commit 8da1ba6ca9c7), unprofessional-giser/NISARAPP contains 6,760 total lines: 4,183 code, 1,657 comments, 920 blank, across 18 files in 3 languages (top: Python 83.2%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving unprofessional-giser/NISARAPP to commit 8da1ba6ca9c7, 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 61.9% of all lines, comments represent 24.5%, and the repository averages 232 code lines per file. Python accounts for 83.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 15 | 4,221 | 3,481 | 252 | 488 |
| YAML | 2 | 2,397 | 702 | 1,313 | 382 |
| Markdown | 1 | 142 | 0 | 92 | 50 |

Top language (Python 83.2%). Generated at 2026-09-06T11:23:43.149684583+00:00. Canonical report: https://octocounts.com/github/unprofessional-giser/NISARAPP

## Report FAQ

### How many lines of code does unprofessional-giser/NISARAPP have?

unprofessional-giser/NISARAPP has 6,760 total lines, including 4,183 code lines, 1,657 comment lines, and 920 blank lines.

### How was the unprofessional-giser/NISARAPP line count measured?

OctoCounts resolved the public GitHub repository to commit 8da1ba6ca9c7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for unprofessional-giser/NISARAPP?

This OctoCounts report was generated from main at commit 8da1ba6ca9c7 on 2026-09-06T11:23:43.149684583+00:00.

## Similar repository reports

- [dscripka/openWakeWord](https://octocounts.com/github/dscripka/openWakeWord) — Python, 4,145 code lines
- [FlareSolverr/FlareSolverr](https://octocounts.com/github/FlareSolverr/FlareSolverr) — Python, 4,116 code lines
- [starchild-codes/reddit-expertise-register-analysis](https://octocounts.com/github/starchild-codes/reddit-expertise-register-analysis) — Python, 4,259 code lines
- [syrupy-project/syrupy](https://octocounts.com/github/syrupy-project/syrupy) — Python, 4,106 code lines
- [antarikshc/perfetto-mcp](https://octocounts.com/github/antarikshc/perfetto-mcp) — Python, 4,104 code lines
- [protectai/modelscan](https://octocounts.com/github/protectai/modelscan) — Python, 4,094 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)
