deepseek-ai/Engram SLOC report
As of 2026-05-13 (commit fb7f84a21f91), deepseek-ai/Engram contains 518 total lines: 353 code, 75 comments, 90 blank, across 2 files in 2 languages (top: Python 100.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving deepseek-ai/Engram to commit fb7f84a21f91, 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 68.1% of all lines, comments represent 14.5%, and the repository averages 177 code lines per file. Python accounts for 100.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 1 | 423 | 353 | 4 | 66 |
| Markdown | 1 | 95 | 0 | 71 | 24 |
Top language (Python 100.0%). Generated at 2026-05-13T05:00:30.604474838+00:00.
Report FAQ
How many lines of code does deepseek-ai/Engram have?
deepseek-ai/Engram has 518 total lines, including 353 code lines, 75 comment lines, and 90 blank lines.
How was the deepseek-ai/Engram line count measured?
OctoCounts resolved the public GitHub repository to commit fb7f84a21f91, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for deepseek-ai/Engram?
This OctoCounts report was generated from main at commit fb7f84a21f91 on 2026-05-13T05:00:30.604474838+00:00.
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