As of 2026-08-26 (commit 49165d6af443), chatchat-space/Langchain-Chatchat contains 44,480 total lines: 23,154 code, 13,774 comments, 7,552 blank, across 364 files in 10 languages (top: Python 90.6%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving chatchat-space/Langchain-Chatchat to commit 49165d6af443, 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 52.1% of all lines, comments represent 31.0%, and the repository averages 64 code lines per file. Python accounts for 90.6% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 240 | 25411 | 20984 | 1072 | 3355 |
| JavaScript | 2 | 1791 | 1659 | 15 | 117 |
| TOML | 6 | 330 | 263 | 26 | 41 |
| Shell | 10 | 206 | 148 | 17 | 41 |
| Makefile | 1 | 85 | 53 | 13 | 19 |
| Dockerfile | 1 | 43 | 25 | 9 | 9 |
| YAML | 1 | 37 | 21 | 16 | 0 |
| CSS | 1 | 9 | 1 | 7 | 1 |
| Markdown | 101 | 15733 | 0 | 12118 | 3615 |
| Plain Text | 1 | 835 | 0 | 481 | 354 |
Top language (Python 90.6%). Generated at .
chatchat-space/Langchain-Chatchat has 44,480 total lines, including 23,154 code lines, 13,774 comment lines, and 7,552 blank lines.
OctoCounts resolved the public GitHub repository to commit 49165d6af443, 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 master at commit 49165d6af443 on 2026-08-26T15:13:16.098124823+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: