As of 2026-09-02 (commit b3a3f3a6df47), iv-org/invidious contains 59,948 total lines: 49,340 code, 5,035 comments, 5,573 blank, across 281 files in 15 languages (top: JSON 51.9%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving iv-org/invidious to commit b3a3f3a6df47, 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 82.3% of all lines, comments represent 8.4%, and the repository averages 176 code lines per file. JSON accounts for 51.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 63 | 25629 | 25629 | 0 | 0 |
| Crystal | 144 | 23869 | 17618 | 2236 | 4015 |
| SVG | 4 | 2136 | 2133 | 3 | 0 |
| JavaScript | 18 | 2425 | 1876 | 180 | 369 |
| CSS | 11 | 1509 | 1115 | 123 | 271 |
| Python | 1 | 397 | 331 | 18 | 48 |
| Shell | 14 | 339 | 202 | 67 | 70 |
| YAML | 4 | 1207 | 136 | 948 | 123 |
| SQL | 9 | 212 | 126 | 32 | 54 |
| Makefile | 1 | 116 | 62 | 21 | 33 |
| Dockerfile | 1 | 93 | 58 | 19 | 16 |
| Nix | 3 | 66 | 45 | 16 | 5 |
Top language (JSON 51.9%). Generated at 2026-09-02T07:04:51.662231593+00:00.
iv-org/invidious has 59,948 total lines, including 49,340 code lines, 5,035 comment lines, and 5,573 blank lines.
OctoCounts resolved the public GitHub repository to commit b3a3f3a6df47, 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 b3a3f3a6df47 on 2026-09-02T07:04:51.662231593+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: