3 repository-uri
Frameworks that allow users to execute custom scripts to automate tasks and parse external data sources.
Distinct from Extension Support: Focuses on script-based extensibility for automation, whereas general extension support covers broader plugin architectures.
Explore 3 awesome GitHub repositories matching web development · Scriptable Extensions. Refine with filters or upvote what's useful.
Gopeed is a cross-platform download manager that provides a unified interface for retrieving files across diverse protocols, including HTTP, BitTorrent, Magnet, and ED2K. It utilizes a multi-segment concurrent downloading engine to maximize network bandwidth utilization and accelerate transfer speeds. The application is designed for both desktop and mobile environments, offering a terminal-based command-line interface alongside a graphical user experience. The project distinguishes itself through a scriptable extension framework that allows users to execute custom JavaScript to automate compl
Provides a scriptable extension framework for automating complex retrieval tasks and parsing web sources.
OpenRCT2 is an open-source reimplementation of a classic amusement park management simulation engine. It functions as a cross-platform engine that modernizes the original game, enabling it to run on contemporary operating systems while maintaining full compatibility with legacy assets and data files. The project distinguishes itself by providing a comprehensive multiplayer simulation server that supports cooperative, real-time park management and construction across multiple connected clients. It utilizes a deterministic lockstep networking model and a centralized action-based validation syst
Exposes internal simulation functions to an external scripting environment to allow for custom gameplay mechanics and interface modifications.
Lab is a customizable 3D platform and research testbed designed for training and testing autonomous agents using reinforcement learning. It serves as a spatial AI training simulator where agents can be evaluated through navigation and puzzle-solving tasks. The environment allows for the definition of complex layouts and task behaviors through external scripting, enabling the generation of specific challenges for AI research. It supports both automated training via standard API bindings and manual agent control to validate simulation dynamics. The system utilizes a grid-based spatial represen
Allows environment layouts and task behaviors to be defined through external scripts for rapid research iteration.