Search Results for "cache"

Miso is a small, production-ready, "isomorphic" Haskell front-end framework for quickly building highly interactive single-page web applications. It features a virtual-dom, recursive diffing / patching algorithm, attribute and property normalization, event delegation, event batching, SVG, Server-sent events, Websockets, type-safe servant-style routing and an extensible Subscription-based subsystem. Inspired by Elm, Redux and Bobril. Miso is pure by default, but side effects (like XHR) can be...

Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using...

...The core packages in Reflex Platform are known to work together and are tested together. the core packages in Reflex Platform are cached so you can download prebuilt binaries from the public cache instead of building from scratch. Nix locks down dependencies even outside the Haskell ecosystem (e.g., versions of C libraries that the Haskell code depends on), so you get completely reproducible builds. Reflex Platform is designed to target iOS and Android on mobile, JavaScript on the web, and Linux and macOS on desktop. It's Haskell, everywhere. ...

...Unfortunately, this will require them to build from scratch a new framework. This is particularly annoying if the dependency tree for that framework is big and/or takes a long time to build. Use a cache. The first team member (or a CI) can build the framework and share it, while all other developers can get it from the cache with no waiting time.

Haxl is a Haskell library that simplifies access to remote data, such as databases or web-based services. Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, cache previous requests, and memoize computations. Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. To use Haxl in your own application, you will likely need to build one or more data sources: the thin layer between Haxl and the data that you want to fetch, be it a database, a web API, a cloud service, or whatever. ...