# medplum/medplum SLOC report

> As of 2026-10-23 (commit e2f8177fafa8), medplum/medplum contains 1,626,909 total lines: 1,478,062 code, 72,885 comments, 75,962 blank, across 3,713 files in 18 languages (top: JSON 60.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

medplum/medplum has 1,478,062 source lines of code out of 1,626,909 total lines across 3,713 files, counted from the main ref at commit e2f8177fafa8 by the OctoCounts tokei engine on 2026-10-23. 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 medplum/medplum to commit e2f8177fafa8, 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 very large codebase by counted code lines. Code represents 90.9% of all lines, comments represent 4.5%, and the repository averages 398 code lines per file. JSON accounts for 60.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 231 | 887,039 | 887,034 | 0 | 5 |
| TypeScript | 1,780 | 482,492 | 382,718 | 52,377 | 47,397 |
| TSX | 1,273 | 219,037 | 182,637 | 12,069 | 24,331 |
| XML | 29 | 17,116 | 14,715 | 2,066 | 335 |
| CSS | 125 | 5,234 | 4,185 | 299 | 750 |
| JavaScript | 53 | 2,746 | 2,165 | 330 | 251 |
| Shell | 36 | 2,562 | 1,501 | 575 | 486 |
| HCL | 28 | 1,662 | 1,275 | 189 | 198 |
| YAML | 21 | 918 | 828 | 59 | 31 |
| SVG | 13 | 542 | 536 | 6 | 0 |
| HTML | 19 | 266 | 263 | 0 | 3 |
| Python | 1 | 139 | 70 | 42 | 27 |

Top language (JSON 60.0%). Generated at 2026-10-23T07:35:00.140249749+00:00. Canonical report: https://octocounts.com/github/medplum/medplum

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/medplum/medplum/commit/e2f8177fafa88a9f0d5fb1367d4f4ec1ba3afa69?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&reportId=4f0adfe4dee81e8a6bbe4268077026d1e42ee97e3e54be7b53dbf12205a6ce79).

## Report FAQ

### How many lines of code does medplum/medplum have?

medplum/medplum has 1,626,909 total lines, including 1,478,062 code lines, 72,885 comment lines, and 75,962 blank lines.

### How was the medplum/medplum line count measured?

OctoCounts resolved the public GitHub repository to commit e2f8177fafa8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for medplum/medplum?

This OctoCounts report was generated from main at commit e2f8177fafa8 on 2026-10-23T07:35:00.140249749+00:00.

## Similar repository reports

- [Dokploy/dokploy](https://octocounts.com/github/Dokploy/dokploy) — JSON, 1,461,258 code lines
- [thingsboard/thingsboard](https://octocounts.com/github/thingsboard/thingsboard) — JSON, 1,519,994 code lines
- [presenton/presenton](https://octocounts.com/github/presenton/presenton) — JSON, 1,428,091 code lines
- [insightlabs38-pixel/HydroSwarm](https://octocounts.com/github/insightlabs38-pixel/HydroSwarm) — JSON, 1,531,344 code lines
- [Comfy-Org/ComfyUI](https://octocounts.com/github/Comfy-Org/ComfyUI) — JSON, 1,356,653 code lines
- [oblien/openship](https://octocounts.com/github/oblien/openship) — JSON, 1,310,354 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)