Optimizes image acquisition by processing GVSP packets with Apple Network Extension. Directly forwards complete images to software. Bypasses IP stack to reduce CPU load and improve performance.
Allows users to write and run Python code offline. It includes built-in modules like tkinter and turtle. Users can access scientific libraries such as numpy, pandas, and scikit-learn. The supports C/C++/PHP/Lua development.
HTTP//WebSocket traffic using local VPN technology and view full request and response details in real time, including status codes, headers, and body data. Choose from raw data, JSON, XML, HTML, image, or video views for debugging.
Examine and control Bluetooth Low Energy devices. Find and sort devices by name or signal strength. Connect to multiple peripherals simultaneously. Browse services and characteristics. Read and write characteristic values.
