# nadirnet/nadir-core > Open-core ADAS sensor drift scoring (Pulse) plus a local dashcam agent that estimates camera mount and geometry health from video. Runs in shadow mode with no ECU writes. - Magnitude: 0.0 out of 10 — Steady - Stars: 46 total · +0 stars on 2026-09-26 (UTC), ≈ 0 by evening - Star trust: star growth looks organic - Category: Hardware, IoT & robotics · Language: Python · License: Apache-2.0 · Created: 2026-09-10 · Last push: 2026-09-12 - GitHub: https://github.com/nadirnet/nadir-core · Homepage: https://nadirai.net · Page: https://gitnova.dev/en/r/nadirnet/nadir-core ## Useful for - Score calibration drift from existing telemetry via nadir-core-score - Analyze VIOFO or BlackVue recordings and get a mount-health report - Run synthetic frames with a set yaw-drift to test the pipeline ## Why it’s here - The repository is 16 days old and already has 46 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 7 - Issues and pull requests: 4 - Watchers: 2 - Average over the last week: 0 per day - Usual pace: 3 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 12 days 09-15 1.2, 09-16 1.1, 09-17 0.2, 09-18 0.6, 09-19 0.0, 09-20 0.0, 09-21 0.0, 09-22 0.0, 09-23 0.0, 09-24 0.0, 09-25 0.0, 09-26 0.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-26 08:51 UTC, updated every 30 minutes.