As of 2026-08-13 (commit bed31380a6f9), awslabs/osml-data-intake contains 29,631 total lines: 26,288 code, 2,106 comments, 1,237 blank, across 161 files in 11 languages (top: JSON 80.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving awslabs/osml-data-intake to commit bed31380a6f9, 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 88.7% of all lines, comments represent 7.1%, and the repository averages 163 code lines per file. JSON accounts for 80.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 106 | 21161 | 21161 | 0 | 0 |
| Python | 21 | 3427 | 2732 | 146 | 549 |
| TypeScript | 19 | 3816 | 2125 | 1308 | 383 |
| JavaScript | 2 | 114 | 103 | 11 | 0 |
| INI | 1 | 81 | 57 | 13 | 11 |
| Forge Config | 1 | 43 | 38 | 0 | 5 |
| YAML | 2 | 36 | 32 | 2 | 2 |
| TOML | 1 | 33 | 25 | 1 | 7 |
| Shell | 1 | 30 | 15 | 7 | 8 |
| Markdown | 5 | 879 | 0 | 607 | 272 |
| Plain Text | 2 | 11 | 0 | 11 | 0 |
Top language (JSON 80.5%). Generated at 2026-08-13T19:07:32.013374608+00:00.
awslabs/osml-data-intake has 29,631 total lines, including 26,288 code lines, 2,106 comment lines, and 1,237 blank lines.
OctoCounts resolved the public GitHub repository to commit bed31380a6f9, 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 bed31380a6f9 on 2026-08-13T19:07:32.013374608+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: