There are thousands of sensors around the city. You can get a sense of shade-vs-sun temperatures by the spread of numbers you see (on cloudy days, the reported temperatures will be much closer together, while on sunny days, sensors in the sun will report elevated temperatures.)
You do need to make sure to disable indoor sensors, and keep in mind that some sensors are faulty. (I've seen some that have been reporting a constant temperature for years.)
or just click the buttons that accomplish the same thing. The point is someone at PurpleAir is asleep at the wheel if such an obvious default configuration isn't being set. If they can't get such a basic thing right, why do we trust anything else from them? "Anything else" specifically including "running their software on a raspberry pi inside my home network".
I use Mr Chilly to demonstrate to non-SF folks how many microclimates SF (and the Bay Area has).
Only suggestion: separate Inner and Outer Sunset since there can be a massive difference between near Ocean Beach and near Irving/9th Ave in autumn (ie. SF's hottest season).
Edit: nevermind, just saw both inner_sunset and outer_sunset in /neighborhoods. I'd assumed it was merged based on the human readable list on the landing page. Thanks for the fun API!
I use PurpleAir data for a lot of my home automations— I have a smart window vent and configure it to blow in/out depending on which side has the worse air.
(Thank you to those who maintain public sensors!)
I do notice that in my neighborhood (Noe Valley) a lot of the sensors are very incorrect or often offline. I've resorted to taking the median and throwing outliers away, but even this often doesn't work. This is the challenge of relying on crowdsourced data I suppose...
An interesting problem with self-reported temperature is that people just put their outdoor sensors inside for some reason or near an ambient heat source; also in neighborhoods with tall buildings, it's a bit colder higher up, so the balcony readers are a bit off from sidewalk temperature, it is interesting to see though that one block from another is super different in temp, is it because it's actually different or is there something heating/cooling the sensor off randomly
note that I also have a system where if the temperature seems outlier compared to direct neighbors it averages the 3 nearest neighbors. this usually occurs in neighborhoods with a single sensor that can skew the results heavily at certain times of the day, etc.
My favorite weather map for SF is PurpleAir: https://map.purpleair.com/environment-estimated-temerature-f...
There are thousands of sensors around the city. You can get a sense of shade-vs-sun temperatures by the spread of numbers you see (on cloudy days, the reported temperatures will be much closer together, while on sunny days, sensors in the sun will report elevated temperatures.)
You do need to make sure to disable indoor sensors, and keep in mind that some sensors are faulty. (I've seen some that have been reporting a constant temperature for years.)
This one is neat, I might actually use it.
I don't understand why it includes indoor sensors at all let alone by default. Why would I want to know the temperature inside some random building?
> I don't understand why it includes indoor sensors at all let alone by default.
Add location_type=0 to only get outdoor sensors
or just click the buttons that accomplish the same thing. The point is someone at PurpleAir is asleep at the wheel if such an obvious default configuration isn't being set. If they can't get such a basic thing right, why do we trust anything else from them? "Anything else" specifically including "running their software on a raspberry pi inside my home network".
Because PurpleAir is not a weather service, they’re a sensor company.
I use that and Mr. Chilly.
Mr. Chilly is one of those niche apps that sparks joy and reminds me of the early app days.
This was directly inspired by Mr Chilly which was designed by my friend Anna Bleker.
It's an excellent iOS app: https://mr-chilly.com/
My goal was to do something similar as a Claude Code skill
I use Mr Chilly to demonstrate to non-SF folks how many microclimates SF (and the Bay Area has).
Only suggestion: separate Inner and Outer Sunset since there can be a massive difference between near Ocean Beach and near Irving/9th Ave in autumn (ie. SF's hottest season).
Edit: nevermind, just saw both inner_sunset and outer_sunset in /neighborhoods. I'd assumed it was merged based on the human readable list on the landing page. Thanks for the fun API!
thanks I will update the homepage to reflect this.
It seems weird to me that there's no human readable version on the webpage?
Usually what I want the weather for is to choose what to wear, not to put in a bash script or an LLM or something.
I made this primarily to use inside Claude Code in terminal but maybe I'll make a little demo on the website if you put in an SF zip code.
Demo added: https://microclimates.solofounders.com/all
Here you go: https://v0-weather-app-one-coral.vercel.app/
Made it in about 5 minutes with v0.
Can I suggest changing background color of the tiles between blue and red to indicate how warm each spot is? Would make it easier at a glance.
I made a quick website from this API that shows all of the neighborhoods, searchable, sortable.
https://v0-weather-app-one-coral.vercel.app/
Surprisingly, Lands End is the highest temp right now.
Inspired by this, I made a map: https://climate-map--jaredluxenberg1.replit.app/
Kinda neat!
I use PurpleAir data for a lot of my home automations— I have a smart window vent and configure it to blow in/out depending on which side has the worse air.
(Thank you to those who maintain public sensors!)
I do notice that in my neighborhood (Noe Valley) a lot of the sensors are very incorrect or often offline. I've resorted to taking the median and throwing outliers away, but even this often doesn't work. This is the challenge of relying on crowdsourced data I suppose...
An interesting problem with self-reported temperature is that people just put their outdoor sensors inside for some reason or near an ambient heat source; also in neighborhoods with tall buildings, it's a bit colder higher up, so the balcony readers are a bit off from sidewalk temperature, it is interesting to see though that one block from another is super different in temp, is it because it's actually different or is there something heating/cooling the sensor off randomly
Love the idea, but tried "japantown" which is mentioned in the README but doesn't exist in the app? https://microclimates.solofounders.com/sf-weather/japantown
thanks for catching this. just fixed.
note that I also have a system where if the temperature seems outlier compared to direct neighbors it averages the 3 nearest neighbors. this usually occurs in neighborhoods with a single sensor that can skew the results heavily at certain times of the day, etc.
Love it
Hacked together an SF parks ranking system based on current weather
https://sfparks.nathanflurry.com/
How does this compare to https://www.wunderground.com ?
Is that the source of the data?
Purple Air is the primary source but it's open source and you could try other providers https://github.com/solo-founders/sf-microclimates
This happens in Portland as well! Can this be adapted/updated to work here?
Fork the Github! Would love to see it elsewhere :)
Is it possible to get individual sensor data via this API?
no I made this primarily for a Claude Code / Clawdbot skill so I am not making it super sophisticated.
You should use Purple Air if you want to make it more focused https://www2.purpleair.com/
Can you do celsius
submit a PR
Multiple neighborhoods have no data, including Lakeside and Stonestown.
Good flag. I've just added add fallback to the nearest location with a sensor to the repo.