As of 2026-08-02 (commit 583b3412c792), prompt-toolkit/python-prompt-toolkit contains 58,904 total lines: 44,517 code, 4,054 comments, 10,333 blank, across 335 files in 10 languages (top: Python 89.9%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving prompt-toolkit/python-prompt-toolkit to commit 583b3412c792, 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 75.6% of all lines, comments represent 6.9%, and the repository averages 133 code lines per file. Python accounts for 89.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 298 | 52799 | 40032 | 4032 | 8735 |
| ReStructuredText | 29 | 5447 | 3929 | 0 | 1518 |
| Batch | 1 | 242 | 212 | 1 | 29 |
| TOML | 1 | 171 | 155 | 5 | 11 |
| Makefile | 1 | 177 | 143 | 6 | 28 |
| YAML | 1 | 45 | 36 | 0 | 9 |
| INI | 1 | 13 | 6 | 4 | 3 |
| Autoconf | 1 | 4 | 4 | 0 | 0 |
| Markdown | 1 | 1 | 0 | 1 | 0 |
| Plain Text | 1 | 5 | 0 | 5 | 0 |
Top language (Python 89.9%). Generated at 2026-08-02T17:56:10.164494982+00:00.
prompt-toolkit/python-prompt-toolkit has 58,904 total lines, including 44,517 code lines, 4,054 comment lines, and 10,333 blank lines.
OctoCounts resolved the public GitHub repository to commit 583b3412c792, 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 583b3412c792 on 2026-08-02T17:56:10.164494982+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: