# datacurve-ai/deep-swe SLOC report

> As of 2026-09-16 (commit 0b9fabbb63b9), datacurve-ai/deep-swe contains 15,034 total lines: 9,463 code, 3,134 comments, 2,437 blank, across 457 files in 5 languages (top: TOML 56.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

datacurve-ai/deep-swe has 9,463 source lines of code out of 15,034 total lines across 457 files, counted from the 0b9fabbb63b9104d678fe965e1632f2dd9eaa2ea ref at commit 0b9fabbb63b9 by the OctoCounts tokei engine on 2026-09-16. 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 datacurve-ai/deep-swe to commit 0b9fabbb63b9, 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 62.9% of all lines, comments represent 20.8%, and the repository averages 21 code lines per file. TOML accounts for 56.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| TOML | 114 | 5,886 | 5,316 | 3 | 567 |
| Dockerfile | 113 | 4,105 | 2,228 | 1,119 | 758 |
| JSON | 2 | 1,354 | 1,354 | 0 | 0 |
| Shell | 113 | 1,243 | 565 | 339 | 339 |
| Markdown | 115 | 2,446 | 0 | 1,673 | 773 |

Top language (TOML 56.2%). Generated at 2026-09-16T21:46:22.177589674+00:00. Canonical report: https://octocounts.com/github/datacurve-ai/deep-swe

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/datacurve-ai/deep-swe/commit/0b9fabbb63b9104d678fe965e1632f2dd9eaa2ea?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 datacurve-ai/deep-swe have?

datacurve-ai/deep-swe has 15,034 total lines, including 9,463 code lines, 3,134 comment lines, and 2,437 blank lines.

### How was the datacurve-ai/deep-swe line count measured?

OctoCounts resolved the public GitHub repository to commit 0b9fabbb63b9, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for datacurve-ai/deep-swe?

This OctoCounts report was generated from 0b9fabbb63b9104d678fe965e1632f2dd9eaa2ea at commit 0b9fabbb63b9 on 2026-09-16T21:46:22.177589674+00:00.

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