As of 2026-07-13 (commit 3bc844849437), gnutls/gnutls contains 417,429 total lines: 328,262 code, 46,783 comments, 42,384 blank, across 718 files in 14 languages (top: C 48.4%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving gnutls/gnutls to commit 3bc844849437, 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 large codebase by counted code lines. Code represents 78.6% of all lines, comments represent 11.2%, and the repository averages 457 code lines per file. C accounts for 48.4% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| C | 355 | 225434 | 158997 | 37287 | 29150 |
| GNU Style Assembly | 55 | 135931 | 127301 | 460 | 8170 |
| C Header | 228 | 44325 | 34092 | 6552 | 3681 |
| Autoconf | 4 | 3691 | 2874 | 342 | 475 |
| JSON | 11 | 2465 | 2465 | 0 | 0 |
| Automake | 21 | 1902 | 1216 | 393 | 293 |
| M4 | 8 | 988 | 546 | 359 | 83 |
| Shell | 13 | 712 | 463 | 130 | 119 |
| Makefile | 3 | 307 | 232 | 27 | 48 |
| Python | 1 | 67 | 46 | 7 | 14 |
| BASH | 1 | 40 | 26 | 7 | 7 |
| C++ | 1 | 27 | 4 | 21 | 2 |
Top language (C 48.4%). Generated at 2026-07-13T01:46:05.330274915+00:00.
gnutls/gnutls has 417,429 total lines, including 328,262 code lines, 46,783 comment lines, and 42,384 blank lines.
OctoCounts resolved the public GitHub repository to commit 3bc844849437, 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 3bc844849437 on 2026-07-13T01:46:05.330274915+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: