# langflow-ai/langflow SLOC report > langflow-ai/langflow: 691,749 code lines at commit 504c02fc47e7, counted with tokei-14.0.0 on 2026-10-06. Saved result 5ec0f7abc6d8ae2f5f74c05fb72e9a0fe6fdb3936dbd612e1943dd76a87503e6. langflow-ai/langflow has 691,749 source lines of code out of 790,861 total lines across 4,374 files, counted from the main ref at commit 504c02fc47e7 by the OctoCounts tokei engine on 2026-10-06. The report is cached by commit, tokei version, and analysis options, reproduction requires the same commit, engine version, and effective counting rules. Unknown rules in older reports prevent exact reproduction. OctoCounts produced this report by resolving langflow-ai/langflow to commit 504c02fc47e7, downloading the repository source archive, and counting files selected by the effective rules 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, exact reproduction requires the same commit, engine version, and effective counting rules. Older reports with unknown rules cannot promise exact reproduction. ## Counting rules and retention langflow-ai/langflow: counting rules unknown; engine tokei-14.0.0. Saved reports remain subject to cache cleanup and replacement. Export the JSON or text for durable citation; live repository URLs can change. ## Repository size insights This is a large codebase by counted code lines. Code represents 87.5% of all lines, comments represent 4.9%, and the repository averages 158 code lines per file. Python accounts for 43.7% of counted code. | Language | Files | Lines | Code | Comments | Blanks | | --- | ---: | ---: | ---: | ---: | ---: | | Python | 2,065 | 371,328 | 302,396 | 22,847 | 46,085 | | JSON | 88 | 202,282 | 202,280 | 0 | 2 | | TSX | 889 | 96,179 | 87,041 | 3,131 | 6,007 | | TypeScript | 683 | 58,209 | 47,647 | 5,454 | 5,108 | | JSX | 202 | 27,123 | 27,070 | 4 | 49 | | SVG | 281 | 15,725 | 15,569 | 68 | 88 | | CSS | 6 | 3,191 | 2,708 | 88 | 395 | | TOML | 29 | 3,085 | 2,313 | 524 | 248 | | Makefile | 3 | 1,354 | 1,088 | 69 | 197 | | Shell | 18 | 1,439 | 994 | 267 | 178 | | JavaScript | 10 | 1,114 | 974 | 82 | 58 | | YAML | 21 | 1,178 | 826 | 257 | 95 | | Dockerfile | 14 | 823 | 503 | 186 | 134 | | Batch | 2 | 180 | 145 | 12 | 23 | | PowerShell | 2 | 182 | 137 | 20 | 25 | | INI | 1 | 113 | 32 | 58 | 23 | | HTML | 1 | 26 | 26 | 0 | 0 | | Markdown | 57 | 7,216 | 0 | 5,197 | 2,019 | | Plain Text | 2 | 114 | 0 | 114 | 0 | Top language (Python 43.7%). Generated at 2026-10-06T19:11:08.687383866Z. Canonical report: https://octocounts.com/github/langflow-ai/langflow/commit/504c02fc47e76087b82b0e7cbe4186e9cdd916d4?reportId=5ec0f7abc6d8ae2f5f74c05fb72e9a0fe6fdb3936dbd612e1943dd76a87503e6&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D ## Reproduce this report [Reproduce this exact report and configuration](https://octocounts.com/github/langflow-ai/langflow/commit/504c02fc47e76087b82b0e7cbe4186e9cdd916d4?reportId=5ec0f7abc6d8ae2f5f74c05fb72e9a0fe6fdb3936dbd612e1943dd76a87503e6&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D). ## Report FAQ ### How many lines of code does langflow-ai/langflow have? langflow-ai/langflow has 790,861 total lines, including 691,749 code lines, 38,378 comment lines, and 60,734 blank lines. ### How was the langflow-ai/langflow line count measured? OctoCounts resolved the public GitHub repository to commit 504c02fc47e7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options. ### What commit was counted for langflow-ai/langflow? This OctoCounts report was generated from main at commit 504c02fc47e7 on 2026-10-06T19:11:08.687383866Z. ## Similar repository reports - [huggingface/diffusers](https://octocounts.com/github/huggingface/diffusers) — Python, 765,204 code lines - [polarsource/polar](https://octocounts.com/github/polarsource/polar) — Python, 764,002 code lines - [volcengine/OpenViking](https://octocounts.com/github/volcengine/OpenViking) — Python, 757,796 code lines - [Ariwa042/xolo](https://octocounts.com/github/Ariwa042/xolo) — Python, 728,361 code lines - [rpi-nsl/CRANE](https://octocounts.com/github/rpi-nsl/CRANE) — Python, 719,730 code lines - [repowise-dev/repowise](https://octocounts.com/github/repowise-dev/repowise) — Python, 687,911 code lines ## Related OctoCounts pages - [Recently analyzed repositories](https://octocounts.com/recent) - [Popular SLOC reports](https://octocounts.com/popular) - [Trending GitHub repositories](https://octocounts.com/trending) - [Hall of Monoliths](https://octocounts.com/hall-of-monoliths) - [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch) - [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails) - [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django) - [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter) - [Counting methodology](https://octocounts.com/docs/methodology) - [SLOC and code metrics glossary](https://octocounts.com/docs/glossary) - [Original research: how filtering changes SLOC counts](https://octocounts.com/research) - [OctoCounts API docs](https://octocounts.com/docs/api)