Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Best matched with other agent tools.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Best matched with other agent tools.
ragflow has the larger GitHub footprint with 85.7K stars.
ragflow is currently growing faster at +5.4K stars this week.
ragflow has the stronger automated maintenance signal at 98/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Deeplake | ragflow |
|---|---|---|
| Evidence status | Basic listing· 2d ago | Recently verified· 2d ago |
| GitHub stars | 9.1K | 85.7K |
| Weekly growth | 0 | +5.4K |
| Health score | Watch41/100 |
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| Contributors | 141 | 681 |
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| Commits per week | 1.5 | 133.2 |
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| Open issues | 67 | 2.1K |
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| Language | C++ | Go |
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| License | Apache-2.0 | Apache-2.0 |
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| Last commit | 5mo ago | 2d ago |
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| Last release | v4.5.2 | v0.26.4 |
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