# run-llama/llama_index SLOC report

> As of 2026-08-26 (commit d8021225eb7e), run-llama/llama_index contains 406,228 total lines: 311,078 code, 33,854 comments, 61,296 blank, across 4,545 files in 13 languages (top: Python 84.1%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving run-llama/llama_index to commit d8021225eb7e, 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.

## Repository size insights

This is a large codebase by counted code lines. Code represents 76.6% of all lines, comments represent 8.3%, and the repository averages 68 code lines per file. Python accounts for 84.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 2,210 | 305,968 | 261,569 | 7,382 | 37,017 |
| TOML | 634 | 42,142 | 36,715 | 310 | 5,117 |
| Makefile | 614 | 10,491 | 7,407 | 2 | 3,082 |
| Jupyter Notebooks | 77 | 3,603 | 2,125 | 849 | 629 |
| JavaScript | 2 | 2,632 | 1,787 | 565 | 280 |
| JSON | 1 | 1,095 | 1,095 | 0 | 0 |
| Shell | 3 | 280 | 191 | 46 | 43 |
| EdgeQL | 9 | 103 | 103 | 0 | 0 |
| HTML | 1 | 36 | 35 | 0 | 1 |
| YAML | 2 | 35 | 33 | 0 | 2 |
| Bazel | 8 | 19 | 18 | 0 | 1 |
| Markdown | 868 | 39,037 | 0 | 23,913 | 15,124 |

Top language (Python 84.1%). Generated at 2026-08-26T18:19:59.052774261+00:00. Canonical report: https://octocounts.com/github/run-llama/llama_index

## Report FAQ

### How many lines of code does run-llama/llama_index have?

run-llama/llama_index has 406,228 total lines, including 311,078 code lines, 33,854 comment lines, and 61,296 blank lines.

### How was the run-llama/llama_index line count measured?

OctoCounts resolved the public GitHub repository to commit d8021225eb7e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for run-llama/llama_index?

This OctoCounts report was generated from main at commit d8021225eb7e on 2026-08-26T18:19:59.052774261+00:00.

## Similar repository reports

- [abrignoni/iLEAPP](https://octocounts.com/github/abrignoni/iLEAPP) — Python, 311,581 code lines
- [angr/angr](https://octocounts.com/github/angr/angr) — Python, 318,340 code lines
- [topoteretes/cognee](https://octocounts.com/github/topoteretes/cognee) — Python, 299,984 code lines
- [confident-ai/deepeval](https://octocounts.com/github/confident-ai/deepeval) — Python, 299,491 code lines
- [OpenShot/openshot-qt](https://octocounts.com/github/OpenShot/openshot-qt) — Python, 323,528 code lines
- [CunrenLiang/isce2](https://octocounts.com/github/CunrenLiang/isce2) — Python, 296,722 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)