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  1. I wrote a weather forecaster workflow that displays forecasts from Dark Sky or the Weather Underground. This is actually the second iteration; my first was loosely based on David Ferguson's weather workflow, but written in Python. This version is a complete rewrite in Go. The source, along with installation and setup instructions, is available at it at https://github.com/jason0x43/alfred-weather.The most current release can be found at https://github.com/jason0x43/alfred-weather/releases. Version history: 2016-12-18: 1.0.0 2017-05-03: 1.3.0 2018-11-08: 1.5.0 2020-05-03: 1.6.0
  2. This workflow is currently in beta. Please report bugs. This workflow uses NOAA's servers so it only works for North America. My deepest apologies to people of other countries but I couldn't find a free, fast, global radar source that is also easily hackable. Note that these radar images are base reflectivity so when there is no rain there will be a lot of noise near the center. Weather channels typically filter this out but just look at the legend and it's easy to tell what's what. Screenshots Installation Download latest version from Github. Double click to install. Workflow auto notifies of new versions and will update itself if you action the notification of a new update. Update checks may also be forced using radar:update The version number can be displayed via radar:version Usage First time you run this set your location by typing radar [location]⏎ Where [location] is replaced with your current location. If all goes well it will autocomplete locations from WeatherUnderground's autocomplete API. Actioning a location will send that location's longitude and latitude to NOAA's servers to find the weatherstation short code (3 characters in all caps) closest to that location. To manually set this shortcode edit the environment variable 'ws' to the desired shortcode then activate Alfred and type radar⌥⏎ From there the workflow will download the temporally unchanging topographical map and overlay parts (roads, counties, and city names) and compile and cash those parts. After this is done normal operation should just be done by using the key word: activate Alfred and type radar⏎ A static image should display with quicklook within 3 seconds on decent internet. If you don't close quicklook (space or escape) the workflow will download and compile some more images into an animated gif and display this instead. Bugs When (not if) you find bugs just type radar:update to make sure you're on the latest version (auto update checks on run if it has been 7 days since last check) and then if you are, type radar:help to open the issues page on GitHub and then open an issue there. Alternatively complain in this thread.
  3. So, has anyone made or heard of one? Really would love to see the forecast by hour so i don't have to Google it.
  4. Hey I created a now Workflow for you! Search the weather for location with in Google. I hope you love it as I do. Version: 1.2 Download https://www.dropbox.com/s/2bsk26eloo6jus0/Weather%20Search%201.2.alfredworkflow Screenshots https://www.dropbox.com/s/apg143y0pfk7fsi/Screenshots.pdf Setup Guide https://www.dropbox.com/s/vah3vugvbltmzon/Setup%20Guide.pdf I worked very hard on that Workflow so if you have any question, suggestion or problem please write a comment. When you like me Workflow please give me a rating. Update history: V1.0.1 -Bug Fixes V1.1 -Bug Fixes -Now you can save your location -Default search functionality -Added new quick keyword search V1.2 -Added new Quick Hotkey -New Setup Guide -New Notification
  5. Looks like one of my favorite Alfred 1.x extensions is now 2.0 ready! The Dark Sky Alfred Extension by Hack / Make was updated March 23 as an Alfred 2.0 workflow but needs some more work. I’ve updated this for basic Alfred 2.0 functionality. I hope to update again sometime soon to integrate new workflow features. I haven't had time to fiddle but if you want they have the links to the extension and the github page here. This was the best implementation using the Dark Sky API for the previous version of Alfred. Cheers! _____________ Chris Herbert @hrbrt
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