As of 2026-08-28 (commit 01174a6bd6be), mnemosyne-oss/mnemosyne contains 78,147 total lines: 60,163 code, 8,934 comments, 9,050 blank, across 184 files in 11 languages (top: Python 97.6%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving mnemosyne-oss/mnemosyne to commit 01174a6bd6be, 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.
This is a medium-sized codebase by counted code lines. Code represents 77.0% of all lines, comments represent 11.4%, and the repository averages 327 code lines per file. Python accounts for 97.6% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 133 | 71586 | 58710 | 5286 | 7590 |
| TypeScript | 5 | 783 | 678 | 31 | 74 |
| JSON | 5 | 279 | 279 | 0 | 0 |
| TOML | 3 | 246 | 172 | 45 | 29 |
| Shell | 10 | 236 | 148 | 51 | 37 |
| YAML | 5 | 165 | 148 | 12 | 5 |
| Dockerfile | 1 | 51 | 12 | 33 | 6 |
| Autoconf | 1 | 11 | 11 | 0 | 0 |
| SVG | 1 | 5 | 5 | 0 | 0 |
| Markdown | 19 | 4767 | 0 | 3460 | 1307 |
| Plain Text | 1 | 18 | 0 | 16 | 2 |
Top language (Python 97.6%). Generated at 2026-08-28T18:29:03.403620040+00:00.
mnemosyne-oss/mnemosyne has 78,147 total lines, including 60,163 code lines, 8,934 comment lines, and 9,050 blank lines.
OctoCounts resolved the public GitHub repository to commit 01174a6bd6be, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit 01174a6bd6be on 2026-08-28T18:29:03.403620040+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: