HardView 3.1.0b2

A comprehensive Python library for collecting hardware information and real-time performance monitoring.

HardView 3.1.0 - Advanced Hardware & Real-time Monitoring

A comprehensive Python library for querying low-level hardware information and monitoring system performance in real-time on Windows and Linux systems.

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New Features in 3.1.0

• Added LiveView Extension
  A new, high-performance C++ extension for real-time, class-based monitoring of system resources.
  This is the new recommended way for live monitoring, replacing the older monitor_* functions.

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🌡 Temperature Monitoring Support

HardView 3.1.0 now includes cross-platform temperature monitoring:

• Windows: Implemented via LibreHardwareMonitor through a C++/CLI wrapper, seamlessly exposed to Python.
• Linux: Implemented using lm-sensors for accurate thermal readings.

The LibreHardwareMonitorLib.dll required for Windows temperature monitoring is bundled within the HardView wheel and is automatically copied to the Python installation directory during the library’s initial setup.
This means you do not need to manually download or place it alongside your script — unless you encounter specific import or loading issues.

The included LibreHardwareMonitorLib.dll is the original, unmodified build of LibreHardwareMonitor, licensed under MPL-2.0, with full source code available in their official repository. The included libsensors library is the original, unmodified build of lm-sensors, licensed under LGPL-2.1-or-later, with full source code available in their official repository. The included HidSharp.dll library is the original, unmodified build of HidSharp, licensed under Apache License 2.0, with full source code available in their official repository. This project does not depend on it directly, but it is a dependency of LibreHardwareMonitorLib.

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📦 LiveView Extension API

The LiveView extension provides a simple, object-oriented interface for live resource monitoring.

Usage Example:

from HardView import LiveView

# Create a CPU monitoring object
cpu_monitor = LiveView.CPU()
cpu_usage_percent = cpu_monitor.get_usage(interval_ms=1000)
print(f"CPU Usage: {cpu_usage_percent:.2f}%")

# Create a RAM monitoring object
ram_monitor = LiveView.RAM()
ram_usage_percent = ram_monitor.get_usage()
print(f"RAM Usage: {ram_usage_percent:.2f}%")

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Available Classes and Methods:

LiveView.CPU()

• Description: Creates a monitor for CPU usage.
• Methods:
  • get_usage(interval_ms): Returns the average CPU usage over a specified interval in milliseconds.
• Platform Support: [Cross-platform: Windows, Linux]

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LiveView.RAM()

• Description: Creates a monitor for RAM usage.
• Methods:
  • get_usage(): Returns the current RAM usage percentage.
• Platform Support: [Cross-platform: Windows, Linux]

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LiveView.Disk()

• Description: Creates a monitor for physical disk activity (busy time).
• Methods:
  • get_usage(interval): Returns the disk busy percentage over a specified interval in milliseconds.
• Platform Support: [Windows-only]

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LiveView.GPU()

• Description: Creates a monitor for GPU engine usage.
• Methods:
  • get_usage(interval_ms): Returns the GPU usage percentage over a specified interval. The most suitable engine (e.g., 3D, Total) is selected automatically.
• Platform Support: [Windows-only]