# LakshayAggarwal12/WorkForceIQ SLOC report

> As of 2026-10-14 (commit f8018a8022ee), LakshayAggarwal12/WorkForceIQ contains 13,114 total lines: 12,382 code, 276 comments, 456 blank, across 92 files in 13 languages (top: JSON 72.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

LakshayAggarwal12/WorkForceIQ has 12,382 source lines of code out of 13,114 total lines across 92 files, counted from the f8018a8022eeb0c2f069eb34f0fe09146999c92c ref at commit f8018a8022ee by the OctoCounts tokei engine on 2026-10-14. 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 LakshayAggarwal12/WorkForceIQ to commit f8018a8022ee, 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 94.4% of all lines, comments represent 2.1%, and the repository averages 135 code lines per file. JSON accounts for 72.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 8 | 9,008 | 9,004 | 0 | 4 |
| TypeScript | 40 | 1,681 | 1,437 | 61 | 183 |
| TSX | 12 | 982 | 909 | 0 | 73 |
| JavaScript | 4 | 458 | 405 | 21 | 32 |
| Python | 14 | 414 | 327 | 12 | 75 |
| SQL | 1 | 223 | 166 | 28 | 29 |
| YAML | 1 | 63 | 56 | 2 | 5 |
| Dockerfile | 3 | 28 | 27 | 0 | 1 |
| SVG | 4 | 27 | 27 | 0 | 0 |
| HTML | 1 | 13 | 13 | 0 | 0 |
| CSS | 1 | 13 | 11 | 0 | 2 |
| Markdown | 2 | 197 | 0 | 145 | 52 |

Top language (JSON 72.7%). Generated at 2026-10-14T10:09:14.511537888+00:00. Canonical report: https://octocounts.com/github/LakshayAggarwal12/WorkForceIQ

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/LakshayAggarwal12/WorkForceIQ/commit/f8018a8022eeb0c2f069eb34f0fe09146999c92c?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&reportId=84dbd28c4732c8bd79e84c7c4e4ae6c0eec50b31f93100f3c77210ce105301cd).

## Report FAQ

### How many lines of code does LakshayAggarwal12/WorkForceIQ have?

LakshayAggarwal12/WorkForceIQ has 13,114 total lines, including 12,382 code lines, 276 comment lines, and 456 blank lines.

### How was the LakshayAggarwal12/WorkForceIQ line count measured?

OctoCounts resolved the public GitHub repository to commit f8018a8022ee, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for LakshayAggarwal12/WorkForceIQ?

This OctoCounts report was generated from f8018a8022eeb0c2f069eb34f0fe09146999c92c at commit f8018a8022ee on 2026-10-14T10:09:14.511537888+00:00.

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