View detailed and system information of an iOS device. Check CPU details, memory usage, storage capacity, and battery status. Access real-time performance metrics and device identifiers. Export data securely.
Provides analytics for performance using data. Users can compare behavior across different metrics. Features include data mining, creation, transaction history tracking, and comparison tools to analyze performance trends.
Create and run notebooks offline with embedded Python. Write and execute code snippets, add markdown text, and include scientific computation packages. Save and share notebook files directly.
Track overall and -specific earnings. View charts and reports with filters for eCpm, impressions, and match rates. Set daily and monthly goals with notifications for achievements. Include a widget for daily earnings tracking.
Compile and run C code on mobile devices with built-in Python and Lua environments. Support Linux command execution in a console. Features code highlighting, split-screen display, and console input/output.
IPhone or iPad screens to TV in real-time and high definition. Mirror content without cables or extra devices. Stream videos from websites and apps directly. Present slides, photos, or videos on a larger .
Manage and respond to critical system events with real-time alerts and on-call reminders. View incident details, acknowledge alerts, and communicate with team members. Access response tools and logs to resolve issues efficiently.
Access the global web with low configuration setup requiring only three steps. Manage multiple subscription nodes by distance for easy selection. View map-based node locations for intuitive navigation. Supports iOS and tvOS for cross-device usage.
Learn C/C++ with code templates, auto-completion, and syntax highlighting. Compile and run code locally using +. Fetch Git repositories and store files via iCloud. Share files through LAN HTTP/FTP connections.
Enables AI models to access iOS tools like EventKit and PhotoKit for calendar and photo data. It connects to remote tools via standardized protocols, allowing LLMs to interact with external services and data sources.
System resources like CPU, memory, and storage usage in real time. Display metrics in picture-in-picture mode. Receive audio alerts when thresholds are exceeded. Track network activity and processor load. View detailed system performance data.