As of 2026-08-22 (commit 455ee38569d7), dynaconf/dynaconf contains 31,653 total lines: 21,031 code, 5,300 comments, 5,322 blank, across 660 files in 15 languages (top: Python 73.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving dynaconf/dynaconf to commit 455ee38569d7, 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 66.4% of all lines, comments represent 16.7%, and the repository averages 32 code lines per file. Python accounts for 73.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 375 | 20089 | 15401 | 1140 | 3548 |
| SVG | 3 | 3175 | 3175 | 0 | 0 |
| TOML | 91 | 974 | 767 | 72 | 135 |
| YAML | 46 | 768 | 689 | 40 | 39 |
| Makefile | 72 | 555 | 390 | 48 | 117 |
| Shell | 16 | 460 | 336 | 52 | 72 |
| HTML | 8 | 130 | 112 | 0 | 18 |
| JSON | 9 | 90 | 90 | 0 | 0 |
| INI | 6 | 33 | 29 | 0 | 4 |
| ReStructuredText | 1 | 28 | 23 | 0 | 5 |
| XML | 1 | 9 | 9 | 0 | 0 |
| Autoconf | 1 | 7 | 7 | 0 | 0 |
Top language (Python 73.2%). Generated at 2026-08-22T17:11:05.123568421+00:00.
dynaconf/dynaconf has 31,653 total lines, including 21,031 code lines, 5,300 comment lines, and 5,322 blank lines.
OctoCounts resolved the public GitHub repository to commit 455ee38569d7, 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 455ee38569d7 on 2026-08-22T17:11:05.123568421+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: