# udbhav96/ml-model-lab SLOC report

> udbhav96/ml-model-lab: 296 code lines at commit 4af666bc0d6d, counted with tokei-14.0.0 on 2026-10-02. Saved result 888368fcce8fbf0f57ab3715d3aea9e5c6ebbc868cacb091f208dce56ebd10e6.

udbhav96/ml-model-lab has 296 source lines of code out of 590 total lines across 5 files, counted from the 4af666bc0d6da4b308bcc41ffc6b411c231bfc54 ref at commit 4af666bc0d6d by the OctoCounts tokei engine on 2026-10-02. 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 udbhav96/ml-model-lab to commit 4af666bc0d6d, 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 50.2% of all lines, comments represent 24.6%, and the repository averages 59 code lines per file. Jupyter Notebooks accounts for 52.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Jupyter Notebooks | 3 | 380 | 154 | 140 | 86 |
| Python | 2 | 210 | 142 | 5 | 63 |

Top language (Jupyter Notebooks 52.0%). Generated at 2026-10-02T07:51:38.831494119Z. Canonical report: https://octocounts.com/github/udbhav96/ml-model-lab/commit/4af666bc0d6da4b308bcc41ffc6b411c231bfc54?reportId=888368fcce8fbf0f57ab3715d3aea9e5c6ebbc868cacb091f208dce56ebd10e6&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/udbhav96/ml-model-lab/commit/4af666bc0d6da4b308bcc41ffc6b411c231bfc54?reportId=888368fcce8fbf0f57ab3715d3aea9e5c6ebbc868cacb091f208dce56ebd10e6&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does udbhav96/ml-model-lab have?

udbhav96/ml-model-lab has 590 total lines, including 296 code lines, 145 comment lines, and 149 blank lines.

### How was the udbhav96/ml-model-lab line count measured?

OctoCounts resolved the public GitHub repository to commit 4af666bc0d6d, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for udbhav96/ml-model-lab?

This OctoCounts report was generated from 4af666bc0d6da4b308bcc41ffc6b411c231bfc54 at commit 4af666bc0d6d on 2026-10-02T07:51:38.831494119Z.

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