A eulogy for Dark Sky, a data visualization masterpiece (2023)

Dark Sky’s Strengths and Unique Features

  • Widely remembered as uniquely clear, information‑dense, and visually concise.
  • Minute‑level rain alerts (“rain starting in X minutes”) were seen as freakishly accurate and practically useful (biking, motorcycling, outdoor planning).
  • Dynamic main screen that changed based on situation (adding radar, combined precip/temperature, etc.).
  • Rich history view: users could inspect weather for specific past dates and see past days alongside forecasts for context.
  • Extra controls: configurable notifications (thresholds for precipitation chance/temperature), dew point and humidity visualizations, hourly cloud cover, and “cool storms” radar highlights.

Comparison with Apple Weather

  • Some argue current Apple Weather has feature parity: radar, precipitation graphs, notifications, user reports, etc.
  • Many others find it cluttered, slow, and less legible; they see Dark Sky’s information design as a “missing feature” in itself.
  • Complaints include radar tiles that don’t load, inconsistent data between devices, limited history (only ~1 day back), and harder access to detailed metrics (dew point, “feels like,” cloud cover).
  • A minority report Apple Weather as accurate and minute‑precise in their region; others call it “hot garbage.”

Accuracy and Hyperlocal Forecasting

  • Strong nostalgia for Dark Sky’s hyperlocal rain timing; some say Apple’s inherited alerts are now “comically inaccurate.”
  • Others recall Dark Sky degrading even before the acquisition, or never being especially accurate in some microclimate‑heavy areas.
  • Explanations discussed: radar coverage limits, reliance on NEXRAD, reduced aircraft weather data during COVID, possible funding issues for public data, and climate‑driven complexity.
  • Unclear whether Apple still uses Dark Sky’s original backend or significantly changed data sources/models.

Replicas, APIs, and Alternatives

  • Many replacements cited: Carrot (with Dark Sky‑like layouts), Merry Sky, briefsky, Weathergraph, Weather Strip, FlowX, MyRadar, Windy, Weather Underground, yr.no, MeteoSwiss, Breezy, Shadow Weather, national weather service graphs, and DIY dashboards.
  • Pirate Weather reimplements the Dark Sky API and powers several clones.
  • Some users value model‑explorer tools (e.g., viewing multiple forecast models side‑by‑side) over a single “smart” forecast.

Meteorology vs. Visualization

  • Meteorologists quoted elsewhere describe Dark Sky as essentially a radar‐extrapolation and graphics tool rather than a full physics‑based forecast system.
  • Some commenters see this as gatekeeping: simplistic nowcasting can still solve the “is it about to rain on me?” problem better than complex long‑range models.
  • Consensus: Dark Sky’s main innovation was not new physics but outstanding short‑term radar extrapolation plus superior visualization.

Broader Reflections (UX, Acquisitions, Business Model)

  • Frequent lament that large‑company acquisitions (Apple–Dark Sky, Google–Sparrow, Weather Company–Weather Underground) degrade once‑excellent niche apps.
  • Some blame Apple for “destroying” value; others point out the founders chose to sell and likely couldn’t sustain data/compute costs without subscriptions.
  • Debate over why no perfect clone exists: data costs, need for ongoing revenue, difficulty matching both nostalgia and UX polish.
  • Meta‑threads question why people care so deeply about weather detail and why, as engineers, they don’t simply build their own replacements.