#apis

Openly Licensed Images, Audio and More | Openverse
▻https://openverse.org

Projet »sponso« par WP.

Openverse is a tool that allows openly licensed and #public_domain works to be discovered and used by everyone.

Openverse searches across more than 300 million #images from open #APIs and the Common Crawl dataset. It goes beyond simple search to aggregate results across multiple public repositories into a single catalog, and facilitates reuse through features like machine-generated tags and one-click attribution.

For many years, #Creative_Commons has offered its users a dedicated search portal for searching platforms that have #CC licensing filters built in. In fact, this is still maintained at oldsearch.creativecommons.org.

For users of the legacy CC Meta Search site, the “External Sources” feature on Openverse will look familiar. The goal was to ensure that the functionality is not lost, but is updated and embedded within our new search engine for openly licensed content. In addition, the “External Sources” feature builds on this functionality, allowing us to quickly add new external sources as we discover them, and support new content types in the future, as we expand.

#stock

Open-Meteo.com
▻https://open-meteo.com/en

Open-Meteo offers free #weather #forecast #APIs for open-source developers and non-commercial use. No API key is required. You can start using it immediately!

Hourly 7-day forecast worldwide

Open-Meteo collaborates with National Weather Services providing Open Data with 11 to 2 km resolution. Our high performance APIs select the best weather model for your location and provide data as a simple JSON API.

APIs are free without any API key for open-source developers and non-commercial use. You can embed them directly into your app.

#meteo

Intersection Observer comes to Firefox
▻https://hacks.mozilla.org/2017/08/intersection-observer-comes-to-firefox

https://hacks.mozilla.org/files/2017/08/Blank-Diagram-Page-1-500x355.png

Knowing whether or not an element is #visible has traditionally been difficult on the Web. Most solutions listen for scroll and resize events, then use #DOM #APIs like getBoundingClientRect() to manually calculate where elements are relative to the #viewport. This usually works, but it’s inefficient and doesn’t take into account other ways in which an element’s visibility can change, such as a large image finally loading higher up on the page, which pushes everything else downward.
These techniques kill performance, drain batteries, and would be completely unnecessary if the browser could just notify us whenever an element’s visibility changed.
At its most basic, the #IntersectionObserver API looks something like:

let observer = new IntersectionObserver(handler);
observer.observe(target); // <-- Element to watch

IntersectionObserver is available by default in Edge 15, Chrome 51, and Firefox 55, which is due for release next week.

A polyfill is available which works effectively everywhere, albeit without the performance benefits of native implementations.
▻https://github.com/WICG/IntersectionObserver/tree/gh-pages/polyfill

How to start with “VANE language” API – MODIS example

▻http://www.digital-geography.com/start-vane-language-api-modis-example

http://www.digital-geography.com/wp-content/uploads/2017/05/OWM-MODIS_weather.png

The VANE geospatial platform, that’s coming out of the Beta now, is a new project we started at #Openweathermap, relying on our expertise in providing well-designed #APIs for #weather #data which is widely used by devs community. The VANE concept is to unite all operations with remote sensing data into consistent queries, allowing users to work with the data similar to the other #SQL-fashioned APIs, they are probably familiar with. This approach is different from what the typical workflow of Earth observation data usually is. Typicaly one needs to search for the certain imagery or dataset through the catalog, then place an order, then download it from FTP and process it in some desktop software he knows how to deal with, etc. That’s why the cloud-based data processing workflows are developing very fast towards providing users with most capabilities online.

So what do we get with “VANE language” API and how it works?

– You can SELECT by time, source, date-time period, imagery bands, tile coordinates and many other parameters, specifying the appropriate one.
– You can APPLY online processing with multispectral 16-bit imagery, like difference indices, Change Detection, custom color processing…
– And finally, you GET the result instantly as tiles or GeoJSON-polygon.

▻http://owm.io

#map

Popular #Natural_Language_Processing #APIs from Mashape
▻https://www.mashape.com/api-collections/nlp

https://d1g84eaw0qjo7s.cloudfront.net/images/mashape-6a93cd64.png

Natural Language Processing APIs
Top Natural Language Processing APIs handpicked by Mashape

#NLP