Futhark is a small programming language designed to be compiled to efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimising ahead-of-time compiler that presently generates GPU code via CUDA, HIP and OpenCL, although the language itself is hardware-agnostic.

This library updates the dynamic DNS records at Mythic Beasts. It connects to the Mythic Beasts API and allows you to automatically adjust DNS entries for your domains. You specify the details such as the host, domain, and API key, and the library manages the update process. With this library, your DNS records can stay up-to-date with your current IP address configuration, ensuring that your domain resolves correctly at all times. This is particularly useful for scenarios where your IP address changes frequently, such as with residential internet connections.

This library provides Bluetooth parsing capabilities for LeaOne health devices. It enables the integration of Bluetooth-enabled health devices such as scales under brands like Xiaogui and BAGAIL into various systems. Supported devices include Bluetooth scale TZC4 and Bluetooth scale QJ-J. The library handles the non-standard discovery design of LeaOne Bluetooth devices by efficiently recognizing and parsing the data they transmit. Users can interact with the health metrics and data collected by these devices through a well- structured and consistent interface.

The Symfony Ntyf Notifier Bridge provides Ntfy integration for Symfony Notifier.

This PostgreSQL module provides the prefix_range datatype, allowing to index searches such as finding the longest prefix matching a telephone number, having prefixes in a table and telephone number as a parameter:

Futhark is a small programming language designed to be compiled to efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimising ahead-of-time compiler that presently generates GPU code via CUDA, HIP and OpenCL, although the language itself is hardware-agnostic.