# google-deepmind/weathernext SLOC report

> As of 2026-09-06 (commit f2f2c5117d2f), google-deepmind/weathernext contains 308,032 total lines: 302,272 code, 3,033 comments, 2,727 blank, across 76 files in 3 languages (top: JSON 94.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

google-deepmind/weathernext has 302,272 source lines of code out of 308,032 total lines across 76 files, counted from the f2f2c5117d2f864e2d5e7c2f9f220db5e1049dd3 ref at commit f2f2c5117d2f by the OctoCounts tokei engine on 2026-09-06. 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-deepmind/weathernext to commit f2f2c5117d2f, 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 98.1% of all lines, comments represent 1.0%, and the repository averages 3,977 code lines per file. JSON accounts for 94.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 3 | 285,351 | 285,351 | 0 | 0 |
| Python | 71 | 22,361 | 16,921 | 2,785 | 2,655 |
| Markdown | 2 | 320 | 0 | 248 | 72 |

Top language (JSON 94.4%). Generated at 2026-09-06T17:22:58.168434868+00:00. Canonical report: https://octocounts.com/github/google-deepmind/weathernext

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/google-deepmind/weathernext/commit/f2f2c5117d2f864e2d5e7c2f9f220db5e1049dd3?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-deepmind/weathernext have?

google-deepmind/weathernext has 308,032 total lines, including 302,272 code lines, 3,033 comment lines, and 2,727 blank lines.

### How was the google-deepmind/weathernext line count measured?

OctoCounts resolved the public GitHub repository to commit f2f2c5117d2f, 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-deepmind/weathernext?

This OctoCounts report was generated from f2f2c5117d2f864e2d5e7c2f9f220db5e1049dd3 at commit f2f2c5117d2f on 2026-09-06T17:22:58.168434868+00:00.

## Similar repository reports

- [usekaneo/kaneo](https://octocounts.com/github/usekaneo/kaneo) — JSON, 301,993 code lines
- [NodeBB/NodeBB](https://octocounts.com/github/NodeBB/NodeBB) — JSON, 318,658 code lines
- [osu-nlp-group/hipporag](https://octocounts.com/github/osu-nlp-group/hipporag) — JSON, 318,870 code lines
- [josStorer/RWKV-Runner](https://octocounts.com/github/josStorer/RWKV-Runner) — JSON, 319,460 code lines
- [netease-youdao/Confucius4-TTS](https://octocounts.com/github/netease-youdao/Confucius4-TTS) — JSON, 276,249 code lines
- [linear/linear](https://octocounts.com/github/linear/linear) — JSON, 329,931 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)
- [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)