# google-research/timesfm SLOC report

> As of 2026-09-16 (commit e31dadd84cb2), google-research/timesfm contains 31,964 total lines: 25,154 code, 3,327 comments, 3,483 blank, across 127 files in 8 languages (top: Python 67.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

google-research/timesfm has 25,154 source lines of code out of 31,964 total lines across 127 files, counted from the e31dadd84cb26bd5153fde6687502b8312e918fb ref at commit e31dadd84cb2 by the OctoCounts tokei engine on 2026-09-16. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving google-research/timesfm to commit e31dadd84cb2, 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 medium-sized codebase by counted code lines. Code represents 78.7% of all lines, comments represent 10.4%, and the repository averages 198 code lines per file. Python accounts for 67.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 92 | 21,335 | 17,039 | 1,726 | 2,570 |
| JSON | 4 | 6,136 | 6,136 | 0 | 0 |
| Jupyter Notebooks | 8 | 2,255 | 1,733 | 225 | 297 |
| TOML | 2 | 132 | 112 | 4 | 16 |
| HTML | 1 | 91 | 84 | 0 | 7 |
| Shell | 2 | 84 | 50 | 23 | 11 |
| Markdown | 17 | 1,882 | 0 | 1,300 | 582 |
| Plain Text | 1 | 49 | 0 | 49 | 0 |

Top language (Python 67.7%). Generated at 2026-09-16T05:47:37.143530461+00:00. Canonical report: https://octocounts.com/github/google-research/timesfm

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/google-research/timesfm/commit/e31dadd84cb26bd5153fde6687502b8312e918fb?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does google-research/timesfm have?

google-research/timesfm has 31,964 total lines, including 25,154 code lines, 3,327 comment lines, and 3,483 blank lines.

### How was the google-research/timesfm line count measured?

OctoCounts resolved the public GitHub repository to commit e31dadd84cb2, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for google-research/timesfm?

This OctoCounts report was generated from e31dadd84cb26bd5153fde6687502b8312e918fb at commit e31dadd84cb2 on 2026-09-16T05:47:37.143530461+00:00.

## Similar repository reports

- [ArThirtyFour/exteraPluginsRobot](https://octocounts.com/github/ArThirtyFour/exteraPluginsRobot) — Python, 25,269 code lines
- [JesseTG/libretro.py](https://octocounts.com/github/JesseTG/libretro.py) — Python, 25,278 code lines
- [itsv1eds/exteraPluginsRobot](https://octocounts.com/github/itsv1eds/exteraPluginsRobot) — Python, 25,306 code lines
- [xiexh20/ViFiGen](https://octocounts.com/github/xiexh20/ViFiGen) — Python, 25,334 code lines
- [codex-radar/dradar](https://octocounts.com/github/codex-radar/dradar) — Python, 24,878 code lines
- [MattiaRubino/dante](https://octocounts.com/github/MattiaRubino/dante) — Python, 25,505 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)