head to head · open source
orm vs Weaviate
orm has 47,664 GitHub stars, 2,634 forks, 2,627 open issues and last shipped yesterday. Weaviate has 16,934 stars, 1,433 forks, 738 open issues and last shipped yesterday. orm leads on adoption by 181% (47,664 vs 16,934 stars). orm is written in TypeScript under Apache-2.0; Weaviate is written in Go under a custom or non-standard licence. orm has attracted 6% as many forks as stars, Weaviate 8%. Weaviate was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Weaviate | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 17K |
| License | Apache-2.0 | Custom / other |
| Written in | TypeScript | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.6K | ⑂ 1.4K |
| 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 Weaviate if
- You want the Weaviate feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Weaviate 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 Weaviate
Weaviate Weaviate is an open source, cloud native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content classification. Weaviate supports two approaches to store vectors: automatic vectorization at import using integrated models (OpenAI, Cohere, HuggingFace, and others) or direct import of pre computed vector embeddings…
read the full Weaviate overview →
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Frequently asked questions
Is orm or Weaviate more popular?
orm has 47,664 GitHub stars and Weaviate has 16,934. orm has the larger community by that measure.
Are orm and Weaviate free?
Both are open source. orm is licensed under Apache-2.0, and Weaviate has no licence declared in this registry. Both are free to self-host.
What is the difference between orm and Weaviate?
orm is written in TypeScript and Weaviate in Go. 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 Weaviate?
Choose orm if you want the larger community (47,664 stars) or its Apache-2.0 licence terms. Choose Weaviate if its feature set, stack or Custom / other licence fits better. Both are self-hostable.