Showing 41-60 of 159 projects
Service Workers is a W3C specification that provides a way to run scripts in the background, enabling features like offline support, push notifications, and background sync.
A short guide on features of Python 3 with examples, useful for developers of all backgrounds.
A Linux-based wallpaper application that allows users to set dynamic wallpapers on their desktop.
A PHP port of the Resque library, providing a background job processing system and asynchronous task queuing.
A background job queue for Android apps to improve UX and stability.
TickerQ is a fast, reflection-free background task scheduler for .NET with EF Core integration, cron + time-based execution, and a real-time dashboard.
A powerful queue background jobs inspector for monitoring and managing queues in a Redis-based system.
A high-performance image segmentation library that uses bilateral reference for dichotomous image segmentation.
An automated photo processing program designed to automate the post-processing workflow of ID photos in photo studios.
useWorker() is a React Hook that allows you to offload blocking tasks to a web worker for a more responsive UI.
A collection of solutions to common App Store review issues like IPv6 and background location.
Windows support for Node.js scripts, including daemons, event logs, and UAC management.
Java library for async background job processing with persistent storage and scheduling
React Native library for battery-efficient background location tracking with motion detection
A library of professional-grade background patterns and gradients for web and app development, with seamless Tailwind integration.
An asynchronous library for PHP that makes it easy to run code in the background for improved performance.
A Java library that provides 6 methods to detect if an Android app is in the foreground or background.
A PostgreSQL partition management extension for efficient data organization and querying.
A Go library for processing background jobs asynchronously.
A high-accuracy image segmentation tool using the U-2-Net deep learning model for background removal.
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