# Prisma vs Drizzle ORM: source lines of code compared

The Prisma vs Drizzle ORM comparison on OctoCounts shows side-by-side source line counts for prisma/prisma and drizzle-team/drizzle-orm, 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 drizzle-team/drizzle-orm contains 301,701 total lines (261,108 code) across 1,094 files as of 2026-09-16. prisma/prisma and drizzle-team/drizzle-orm are similar in size 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) | [drizzle-team/drizzle-orm](https://octocounts.com/github/drizzle-team/drizzle-orm) |
| --- | ---: | ---: |
| Files | 3,117 | 1,094 |
| Total lines | 406,637 | 301,701 |
| Code lines | 270,101 | 261,108 |
| Comment lines | 93,539 | 19,792 |
| Blank lines | 42,997 | 20,801 |
| Languages counted | 11 | 7 |

Top languages in prisma/prisma: TypeScript (75.4% of code), JSON (11.6% of code), JavaScript (6.0% of code). Top languages in drizzle-team/drizzle-orm: TypeScript (91.8% of code), YAML (5.5% of code), JavaScript (1.5% 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 drizzle-team/drizzle-orm'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; drizzle-team/drizzle-orm was counted at ref 4aa6ecfee4b4728dadf6f77f071a149878a3c6c0 (commit 4aa6ecfee4b4) on 2026-09-16. 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 schema language and client tooling, the query engine, and their integration surfaces. drizzle-team/drizzle-orm counts the Drizzle ORM repository — the TypeScript query-builder library and its dialect support. Prisma ships a standalone query engine binary as part of its architecture, while Drizzle is a library that works through database drivers, so the two counts cover somewhat different layers of an ORM stack.

The per-language tables reflect the architectural split: Prisma's counted tree includes a substantial Rust component for its query engine alongside TypeScript tooling, while Drizzle's counted code is essentially all TypeScript — an engine-vs-driver design difference made visible by language mix rather than totals.

Because Prisma's repository includes engine and tooling packages and Drizzle's is the ORM library itself, the totals measure different spans of the database-access stack; the counts are most useful read as maintenance surface of each project's own code.

_Repository size does not indicate query speed or developer ergonomics: query execution happens against the database, and the developer experience lives in the API surface, neither of which is measured by source lines._

Sources: [prisma/prisma repository structure (client and engine monorepo)](https://github.com/prisma/prisma) · [drizzle-team/drizzle-orm repository](https://github.com/drizzle-team/drizzle-orm). Statements verified 2026-09-16.

Evidence and next steps:

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

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 drizzle-team/drizzle-orm?

As of 2026-09-16, prisma/prisma and drizzle-team/drizzle-orm are close in size: 270,101 vs 261,108 code lines, a difference of less than 15%. Neither clearly outsizes the other by this metric.

### 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, drizzle-team/drizzle-orm, 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; drizzle-team/drizzle-orm was counted at ref 4aa6ecfee4b4728dadf6f77f071a149878a3c6c0 (commit 4aa6ecfee4b4) on 2026-09-16. 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)