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⚡ HardView Benchmarks & Comparisons

This document presents feature comparisons and qualitative performance notes between HardView and other popular Python hardware/system info libraries.


1. 🚀 Why is HardView Faster?

  • Written entirely in C and interacts directly with system APIs (WMI/Win32 on Windows, sysfs/proc on Linux).
  • Competing libraries (e.g., psutil, wmi, py-cpuinfo) are Python-based or wrappers, adding overhead.
  • Optimized for batch queries and returns all results as JSON strings or Python objects.
  • Performs especially well with large or repeated hardware queries.

2. 📋 Feature Coverage Comparison

Feature / Library HardView psutil py-cpuinfo platform dmidecode (Linux)
BIOS Info
System Info
Baseboard Info
Chassis Info
CPU Info (detailed)
GPU Info (detailed)
RAM Info (modules)
Disk Info (detailed)
Partitions Info
SMART/Advanced Storage
Network Info (detailed)
Real-time CPU Usage
Real-time RAM Usage
System Performance Monitor
JSON Output
Python Object Output
Cross-Platform All All Linux only
Native C Speed
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3. 📈 Qualitative Performance Notes

  • HardView is consistently faster due to its C backend and direct system access.
  • Most operations complete in < 0.5s, some even in < 1 ms.
  • HardView and dmidecode are the only tools providing full BIOS/baseboard/chassis info on Linux.
  • Only HardView offers SMART data, detailed GPU info, and real-time monitoring in one API.
  • Supports both JSON and Python objects, making it easy to integrate.

4. ✅ When to Use HardView?

Use HardView if:

  • You need detailed and accurate hardware info (BIOS, SMART, GPU, etc.).
  • You require fast queries and native C speed.
  • You want real-time performance monitoring.
  • You prefer structured JSON or Python object outputs.
  • You want a single cross-platform solution for both Windows and Linux.

5. 📚 See Also

  • What.md: Full API and output examples

HardView: The fastest, most complete hardware info library for Python.