Easy-to-manage touch screens
무료 오픈소스 터치스크린으로 USB 설정 가이드, 드래그‑드롭 편집기, 로컬 제어를 제공하며 Home Assistant용으로 제작되었습니다
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Satirical Boone, NC weather site with a real instrument underneath: ten forecasters graded daily on a public 100-point rubric, a self-grading traffic model, and a CC BY forecast API.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Boone, NC's #2 weather resource. Live at davessweater.com.
A satirical local-weather site that answers the important question — is it sweater weather? — and runs a "Right Ray / Wrong Ray" tracker scoring forecast accuracy (Ray's Weather vs. Open-Meteo vs. Apple Weather, plus a growing bench of free forecasters) against verified actuals on a 100-point scale. The bit: show with data that free services keep pace with — or beat — the paid one. Not affiliated with Ray's Weather; Ray's great, use his site for actual weather.
Note for contributors: There is additional background context (origin story, tone guidance, and copy direction) that is intentionally kept out of this public repo. If you're working locally and need it, ask the owner — it lives in a private/local context file, not in version control. Do not commit personal, political, third-party, or network/infrastructure details to this public repository.
Two layers:
data/*.json. Scoring lives in scripts/scoring.py (100-point scale, tolerance bands per
field, sweater-weather logic), orchestrated by scripts/compare.py.data/*.json at build time and renders
the site. Vercel runs next build on every push to main; there's no committed HTML.scripts/ # Python data pipeline (stdlib only; Playwright just for capture_rays)
scoring.py # the 100-point scoring engine
compare.py # orchestrates scoring + sweater-weather logic for a given date
capture_openmeteo.py # Open-Meteo forecast + historical actuals
capture_rays.py # Ray's Weather screenshot + scrape
capture_iphone_weather.py # Open-Meteo fallback for the Apple Weather slot
export_scores_csv.py # scores.json → CSV
fetch_substack.py # Substack RSS → cached JSON (blog)
prepare_public.mjs # prebuild: latest data/predictions screenshots → public/screenshots
# a growing bench of capture/compare scripts for road conditions, tourism demand,
# local events, and other Boone-area signals lives alongside the core set above
data/ # committed JSON the site reads (predictions, actuals, comparisons, scores, ...)
src/ # Next.js app — lib/ (data, feeds, sweater, scoreboard, dates, html), components/, app/ (routes)
public/ # served assets (logo, icons); screenshots/ generated at build
.github/workflows/ # daily_capture, daily_compare, upload_screenshot (+ a few narrower feature crons)
Site routes worth knowing: / (today's forecast + sweater verdict), /right-wrong-ray (the
comparison + scoreboard), /resources (articles, news, report cards, and videos — the blog), /reports
(franchise landing pages like the fireworks forecast), /methodology (how the scoring works), /shop.
npm install
npm run dev # http://localhost:3000
npm run build # prebuild (screenshots) + next build
npm test # vitest
npm run lint
# Data pipeline (Python stdlib; Playwright only for capture_rays)
python scripts/capture_openmeteo.py --forecast
python scripts/capture_openmeteo.py --actuals --date 2026-03-01
python scripts/compare.py --date 2026-03-01
python scripts/compare.py --sweater-only
# Python test suite
python3 -m pytest tests/
GitHub Actions run the data pipeline and commit data/ to main every morning; each push triggers a
Vercel next build:
daily_capture.yml) — Ray's screenshot + scrape, Open-Meteo forecast, iPhone
fallback, plus the other capture scripts (roads, tourism demand, events, etc.) → commits data/.daily_compare.yml) — runs after Daily Capture, fetches yesterday's actuals,
scores predictions, checks capture health, exports the scores CSV → commits data/.upload_screenshot.yml) — accepts an Apple Weather screenshot via
the GitHub API (iOS Shortcut) → commits data/predictions/.A few narrower feature workflows (e.g. traffic sampling) run on their own schedules alongside these
two. Exact cron times live in .github/workflows/*.yml, not here — they've moved before and will
again.
Hosted on Vercel (vercel.json: framework: nextjs, outputDirectory: .next). Every push to
main deploys. Domain DNS via Squarespace.
~$12/year for the domain. Hosting + Actions are free-tier.
Dave's Sweater is not affiliated with Ray's Weather. Ray's great — use his site for actual weather.