The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
NPC-Worldwide/npcpy is accelerating — star growth is speeding up by +0.1/day (55th percentile in the tracked cohort), on top of +0.4 stars/day. A recent release is helping fuel the run.
Low breakout odds over the next 14 days, led by push recency (94th pctl) and star acceleration (55th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Reconstructed from 186 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 326.
Release count rose to 325.
Release count rose to 324.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/NPC-Worldwide/npcpy)Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
Release count rose to 323.
Release count rose to 322.
Release count rose to 320.
Release count rose to 319.
Release count rose to 318.
Release count rose to 317.
Release count rose to 316.
Release count rose to 315.
Release count rose to 314.