GitHub - woltapp/blurhash: A very compact representation of a placeholder for an image.
In short, BlurHash takes an image, and gives you a short string (only 20-30 characters!) that represents the placeholder for this image. You do this on the backend of your service, and store the string along with the image. When you send data to your client, you send both the URL to the image, and the BlurHash string. Your client then takes the string, and decodes it into an image that it shows wh
lazysizes - the ultimate lazyloader for responsive images, iframes and widget
lazySizes lazySizes is the ultimate and lightweight lazyLoader which lazy loads images (including responsive images (picture/srcset)), iframes and scripts. It is written in VanillaJS and with high performance in mind. Simply add the JS to your website and put the class lazyload to all elements, which should be lazy loaded. For a short API description go to the readme.md. Image with LQIP technique
Glide v4 : Fast and efficient image loading for Android
Home Documentation Hardware Bitmaps Resource Reuse Caching Migrating from v3 to v4 Generated API Configuration Transitions Debugging Targets Transformations Placeholders Options Getting Started Download & Setup Tutorial Writing a custom ModelLoader Test cases for issues Reference Javadocs Samples Integration Libraries Compose AVIF Cronet RecyclerView Volley OkHttp3 About Developers Snapshots Contr
Welcome to Bokeh — Bokeh documentation
Bokeh documentation# Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself. Finding the right documentation resources# Bokeh’s documentation consists
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GitHub - ScriptLineStudios/Imagscii: A free ascii image filter api
GitHub - libvips/libvips: A fast image processing library with low memory needs.
GitHub - infinitered/nsfwjs: NSFW detection on the client-side via TensorFlow.js
NSFW JS