datacurve-ai/deep-swe SLOC report
As of 2026-06-22 (commit 3cda4081fed9), datacurve-ai/deep-swe contains 15,476 total lines: 9,802 code, 3,356 comments, 2,318 blank, across 569 files in 5 languages (top: TOML 50.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving datacurve-ai/deep-swe to commit 3cda4081fed9, 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 63.3% of all lines, comments represent 21.7%, and the repository averages 17 code lines per file. TOML accounts for 50.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| TOML | 114 | 5434 | 4977 | 3 | 454 |
| Dockerfile | 113 | 4105 | 2228 | 1119 | 758 |
| JSON | 2 | 1354 | 1354 | 0 | 0 |
| Shell | 226 | 2260 | 1243 | 678 | 339 |
| Markdown | 114 | 2323 | 0 | 1556 | 767 |
Top language (TOML 50.8%). Generated at 2026-06-22T14:36:19.603590389+00:00.
Report FAQ
How many lines of code does datacurve-ai/deep-swe have?
datacurve-ai/deep-swe has 15,476 total lines, including 9,802 code lines, 3,356 comment lines, and 2,318 blank lines.
How was the datacurve-ai/deep-swe line count measured?
OctoCounts resolved the public GitHub repository to commit 3cda4081fed9, 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 main at commit 3cda4081fed9 on 2026-06-22T14:36:19.603590389+00:00.