head to head · open source
orm vs Activeloop
orm has 47,661 GitHub stars, 2,605 forks, 2,627 open issues and last shipped 2 days ago. Activeloop has 9,265 stars, 725 forks, 66 open issues and last shipped 6 months ago. orm leads on adoption by 414% (47,661 vs 9,265 stars). orm is written in TypeScript under Apache-2.0; Activeloop is written in C++ under Apache-2.0. orm has attracted 5% as many forks as stars, Activeloop 8%. orm 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 | Activeloop | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 9.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | C++ |
| Last push | 2026-11-03 | 2026-05-21 |
| Forks | ⑂ 2.6K | ⑂ 725 |
| 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 Activeloop if
- You want the Activeloop feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C++
- You evaluated both and Activeloop 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 Activeloop
Deep Lake: Database for AI Docs • Get Started • API Reference • LangChain & VectorDBs Course • Blog • Whitepaper • Slack • Twitter What is Deep Lake? Deep Lake is a Database for AI powered by a storage format optimized for deep learning applications. Deep Lake can be used for: 1. Storing and searching data plus vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise grade LLM based products by offering storage for all data types (embeddings, audio, text, videos, images, dicom, pdfs…
read the full Activeloop overview →
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Frequently asked questions
Is orm or Activeloop more popular?
orm has 47,661 GitHub stars and Activeloop has 9,265. orm has the larger community by that measure.
Are orm and Activeloop free?
Both are open source. orm is licensed under Apache-2.0 and Activeloop under Apache-2.0. Neither carries a licence fee.
What is the difference between orm and Activeloop?
orm is written in TypeScript and Activeloop in C++. 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 Activeloop?
Choose orm if you want the larger community (47,661 stars) or its Apache-2.0 licence terms. Choose Activeloop if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.