Fast, Accurate, Lightweight Python library to make State of the Art Embedding
qdrant/fastembed is drawing steady momentum at +1.6 stars/day (38th percentile in the tracked cohort), for a momentum score of 58.5/100. A recent release is helping fuel the run.
Reconstructed from 179 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 28.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/qdrant/fastembed)Low breakout odds over the next 14 days, led by push recency (100th pctl) and star acceleration (55th pctl). Confidence is high given the available history.
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.