head to head · open source
orm vs Raphtory
orm has 47,661 GitHub stars, 2,605 forks, 2,627 open issues and last shipped 2 days ago. Raphtory has 651 stars, 71 forks, 196 open issues and last shipped 2 days ago. orm leads on adoption by 7,221% (47,661 vs 651 stars). orm is written in TypeScript under Apache-2.0; Raphtory is written in Rust under GPL-3.0. orm has attracted 5% as many forks as stars, Raphtory 11%. Raphtory was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (database), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| orm | Raphtory | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 651 |
| License | Apache-2.0 | GPL-3.0 |
| Written in | TypeScript | Rust |
| Last push | 2026-11-03 | 2026-11-03 |
| Forks | ⑂ 2.6K | ⑂ 71 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick orm if
- You weight community size — 48K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick Raphtory if
- You want the Raphtory feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Rust
- You evaluated both and Raphtory fits your workflow better
About orm
Docs Discord X Blog Post Architecture Using Prisma 7? It remains fully supported. Its source lives on the v7 branch of this repository and its docs at prisma.io/docs/orm/v7. Prisma 8 is a release candidate. 8.0.0 final is expected in the next four to eight weeks. Until then a release candidate may include breaking changes, and every release ships with an upgrade recipe that the prisma 8 skill applies for you. The candidate is a complete implementation we stand behind: we treat bugs in it as urgent, and the risk you take on is a feature that is not built yet rather than churn. The feature scoreboard names every…
About Raphtory
🌍 Website   📒 Documentation   Pometry   🧙Tutorial   🐛 Report a Bug   Join Slack Raphtory is an in memory vectorised graph database written in Rust with friendly Python APIs on top. It is blazingly fast, scales to hundreds of millions of edges on your laptop, and can be dropped into your existing pipelines with a simple pip install raphtory . It can be ran embedded or as a server instance using GraphQL, supports time traveling, full text search, multilayer modelling, and advanced analytics beyond simple querying like automatic risk detection, dynamic scoring, and temporal motifs. With the…
read the full Raphtory overview →
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Frequently asked questions
Is orm or Raphtory more popular?
orm has 47,661 GitHub stars and Raphtory has 651. orm has the larger community by that measure.
Are orm and Raphtory free?
Both are open source. orm is licensed under Apache-2.0 and Raphtory under GPL-3.0. Neither carries a licence fee.
What is the difference between orm and Raphtory?
orm is written in TypeScript and Raphtory in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, orm or Raphtory?
Choose orm if you want the larger community (47,661 stars) or its Apache-2.0 licence terms. Choose Raphtory if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.