Qdrant
ActiveFast vector database for semantic search and RAG back-ends.
- ★ 35.2k
- ⟳ Oct 21, 2026
- Permissive
- RAM: n/a
- Cost: n/a
Data labeling & vector databases
Infrastructure for preparing training data and storing embeddings.
Quick answer
We track 2 self-hostable data labeling & vector databases apps: Qdrant, Label Studio. Most GitHub stars: Qdrant (35.2k). Lowest official hardware: Label Studio (minimum 8 GB RAM (recommended 16 GB RAM · 50 GB disk)), from about €35.99/month on our reference server.
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Data labeling & vector databases: side-by-side
| App | License | Official hardware | Est. server cost | GitHub stars | Status |
|---|---|---|---|---|---|
| Qdrant | Apache-2.0 (Permissive) | Not published | Not estimated (no official RAM figure) | 35.2k | Active |
| Label Studio | Apache-2.0 (Permissive) | minimum 8 GB RAM (recommended 16 GB RAM · 50 GB disk) | from €35.99/mo | 28.5k | Active |
All data labeling & vector databases apps
Label Studio
ActiveData labeling tool for text, images, audio and video, used to build and evaluate AI models.
- ★ 28.5k
- ⟳ Oct 22, 2026
- Permissive
- min 8 GB RAM
- from €35.99/mo