# princeton-nlp/intercode SLOC report

> As of 2026-09-03 (commit c3e46d827cfc), princeton-nlp/intercode contains 964,102 total lines: 892,057 code, 69,631 comments, 2,414 blank, across 320 files in 13 languages (top: JSON 98.9%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving princeton-nlp/intercode to commit c3e46d827cfc, 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 92.5% of all lines, comments represent 7.2%, and the repository averages 2,788 code lines per file. JSON accounts for 98.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 68 | 881,961 | 881,960 | 0 | 1 |
| Python | 75 | 6,649 | 5,097 | 401 | 1,151 |
| SQL | 3 | 4,085 | 3,023 | 607 | 455 |
| C | 5 | 630 | 484 | 30 | 116 |
| GNU Style Assembly | 6 | 462 | 461 | 0 | 1 |
| Java | 9 | 389 | 295 | 76 | 18 |
| Jupyter Notebooks | 2 | 336 | 274 | 48 | 14 |
| Shell | 12 | 452 | 249 | 135 | 68 |
| PowerShell | 1 | 132 | 117 | 0 | 15 |
| Dockerfile | 6 | 102 | 63 | 17 | 22 |
| YAML | 2 | 34 | 34 | 0 | 0 |
| Markdown | 112 | 835 | 0 | 708 | 127 |

Top language (JSON 98.9%). Generated at 2026-09-03T01:23:12.684258734+00:00. Canonical report: https://octocounts.com/github/princeton-nlp/intercode

## Report FAQ

### How many lines of code does princeton-nlp/intercode have?

princeton-nlp/intercode has 964,102 total lines, including 892,057 code lines, 69,631 comment lines, and 2,414 blank lines.

### How was the princeton-nlp/intercode line count measured?

OctoCounts resolved the public GitHub repository to commit c3e46d827cfc, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for princeton-nlp/intercode?

This OctoCounts report was generated from master at commit c3e46d827cfc on 2026-09-03T01:23:12.684258734+00:00.

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