Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
activeloopai/deeplake is drawing steady momentum at +0.7 stars/day (27th percentile in the tracked cohort), for a momentum score of 34.9/100. Forks are climbing too, at +0.1/day.
Low breakout odds over the next 14 days, no signal is above the cohort median. Confidence is high given the available history.
Reconstructed from 257 snapshots — the time-series GitHub’s API doesn’t expose.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/activeloopai/deeplake)Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.