# Prisma vs TypeORM: source lines of code compared

The Prisma vs TypeORM comparison on OctoCounts shows side-by-side source line counts for prisma/prisma and typeorm/typeorm, counted with the same engine and analysis options on the dates shown in the methodology line: files, total lines, code lines, comment lines, blank lines, and per-language totals, pinned to the exact commits listed below.

As of 2026-09-16, prisma/prisma contains 406,637 total lines (270,101 code) across 3,117 files, while typeorm/typeorm contains 145,919 total lines (94,775 code) across 600 files as of 2026-09-17. prisma/prisma is about 2.8x the size of typeorm/typeorm by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.

| Metric | [prisma/prisma](https://octocounts.com/github/prisma/prisma) | [typeorm/typeorm](https://octocounts.com/github/typeorm/typeorm) |
| --- | ---: | ---: |
| Files | 3,117 | 600 |
| Total lines | 406,637 | 145,919 |
| Code lines | 270,101 | 94,775 |
| Comment lines | 93,539 | 36,618 |
| Blank lines | 42,997 | 14,526 |
| Languages counted | 11 | 6 |

Top languages in prisma/prisma: TypeScript (75.4% of code), JSON (11.6% of code), JavaScript (6.0% of code). Top languages in typeorm/typeorm: TypeScript (87.2% of code), YAML (11.5% of code), JSON (0.7% of code). TypeScript, JSON, JavaScript, YAML appear in both top language lists; TSX appears only in prisma/prisma's top languages; SQL appears only in typeorm/typeorm's top languages.

Methodology: both counts come from cached OctoCounts reports generated with tokei. prisma/prisma was counted at ref eb6b3d3701c82d1444cbf606ea849916a7e7aba1 (commit eb6b3d3701c8) on 2026-09-16; typeorm/typeorm was counted at ref 7a9009d299c178b37adeb5369e5d6de6efd6d93d (commit 7a9009d299c1) on 2026-09-17. See the [counting methodology](https://octocounts.com/docs/methodology) for ignored directories and analysis options.
## About this comparison

prisma/prisma counts the Prisma monorepo: the query-engine and schema-engine code written in Rust, the TypeScript client and CLI packages, plus tests and documentation. typeorm/typeorm counts the TypeORM repository — the ORM source, largely a TypeScript codebase, with its own tests and docs. Both are ORMs for the Node.js/TypeScript ecosystem, but their repositories partition the work differently, and the counts were taken on the dates shown above.

The per-language tables make the structural difference visible: Prisma's counted tree mixes a Rust engine core with TypeScript client code, while TypeORM's counted tree is overwhelmingly TypeScript, so the two totals are not the same kind of artifact.

Both counts include test suites and documentation material alongside the code that ships, so each total measures the project's full maintenance surface rather than the runtime ORM alone.

_Neither count includes the code an application actually loads in full: ORM usage involves generated clients, runtime drivers, and dependencies that live outside these repositories, so the totals cannot be read as application-side footprint._

Sources: [prisma/prisma repository (monorepo with Rust engines and TypeScript client)](https://github.com/prisma/prisma) · [typeorm/typeorm repository](https://github.com/typeorm/typeorm). Statements verified 2026-09-16.

Evidence and next steps:

- [prisma/prisma SLOC report](https://octocounts.com/github/prisma/prisma)
- [typeorm/typeorm SLOC report](https://octocounts.com/github/typeorm/typeorm)
- [Compare prisma/prisma and typeorm/typeorm interactively](https://octocounts.com/compare?left=https%3A%2F%2Fgithub.com%2Fprisma%2Fprisma&right=https%3A%2F%2Fgithub.com%2Ftypeorm%2Ftypeorm)

Note: code size is not code quality. OctoCounts only reports reproducible line counts and makes no claim that either project is better.

## Compare FAQ

### Which has more lines of code, prisma/prisma or typeorm/typeorm?

prisma/prisma has more code: 270,101 code lines versus 94,775 for typeorm/typeorm, about 2.8x as much, based on cached OctoCounts reports as of 2026-09-17.

### Does more source lines of code mean more complexity?

Not necessarily. SLOC measures size, not complexity, quality, or maintainability. A larger codebase can mean more features, more generated or vendored code, more verbose language idioms, or more tests — none of which imply the code is harder to work with. Use SLOC to gauge the scale of what you'd be reading or maintaining, not as a quality signal for prisma/prisma, typeorm/typeorm, or any repository.

### How is this comparison calculated?

Methodology: both counts come from cached OctoCounts reports generated with tokei. prisma/prisma was counted at ref eb6b3d3701c82d1444cbf606ea849916a7e7aba1 (commit eb6b3d3701c8) on 2026-09-16; typeorm/typeorm was counted at ref 7a9009d299c178b37adeb5369e5d6de6efd6d93d (commit 7a9009d299c1) on 2026-09-17. See the counting methodology for ignored directories and analysis options.

### Can I compare a different branch, tag, or commit?

Yes. This page shows the default branch for each repository. Use the interactive comparison tool to pick any public GitHub repository, branch, tag, or commit SHA for both sides and get a fresh side-by-side report.

## Related OctoCounts pages

- [Interactive repository comparison](https://octocounts.com/compare)
- [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)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [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)
- [OctoCounts API docs](https://octocounts.com/docs/api)