Lychee is a self-hosted photo management system and PHP web application designed for organizing, browsing, and sharing personal photo collections. It functions as a dockerized media server that provides a web interface for uploading and managing images independently of commercial cloud services. The system features an integrated image processing pipeline that automatically generates responsive thumbnails and applies watermarks during the upload process. It supports remote media migration through integration with the Dropbox API and allows for the synchronization of existing server directories
Lsky Pro is a self-hosted image hosting platform and digital asset management system. It provides a web application for uploading and organizing images into albums, while functioning as an image hosting API and processing gateway for programmatic asset management. The system distinguishes itself by supporting monetized storage services, integrating payment gateways and coupon systems to manage user subscriptions and storage quotas. It features a decoupled storage architecture that integrates with S3, OSS, WebDav, and other cloud providers to separate file storage from the application server.
Twill is a Laravel CMS toolkit and admin panel generator designed for building custom administrative consoles and content management systems. It serves as a headless CMS framework and a toolkit for defining content models and managing structured data through a dedicated administrative interface. The project features a visual block editor that allows publishers to arrange and configure reusable content sections via a drag-and-drop interface. It includes a dedicated digital asset manager for storing, cropping, and optimizing images and files across local or cloud storage, as well as a multiling
osxphotos is a command-line interface tool and programmatic database interface designed for managing and exporting media from Apple Photos libraries. It provides a bridge to the underlying system database, allowing for the automation of batch operations and the retrieval of technical metadata. The project distinguishes itself through a metadata-driven export system that uses custom templates to organize files into directory hierarchies. It can extract machine-learning data—including aesthetic scores and optical character recognition—and synchronize metadata across different libraries using un