Python is a fantastic language for scripting, automation, and data analysis — but when it comes to low-level hardware interaction, it often falls short in speed and depth. Most libraries either rely on slow shell commands or lack detailed system insights.
HardView 2.0 changes that.
Built as a C-powered Python extension, HardView provides direct, high-speed access to system hardware — whether you're running Windows or Linux. Need CPU specs? RAM details? Real-time performance tracking? HardView delivers it faster and more efficiently than pure-Python solutions.
HardView queries approximately 120 hardware-related system attributes on Windows and around 103 on Linux (the slight difference is due to limited SMART disk monitoring support on Linux). For even more detailed hardware insights and capabilities, visit the official website to explore everything this powerful library has to offer.
Why HardView?
✅ Blazing-Fast Hardware Queries
HardView bypasses Python’s overhead by using native C code, interacting directly with:
- Windows: WMI & Win32 APIs
- Linux: /proc, /sys, and system calls
This means operations like retrieving CPU details, disk info, or live performance metrics execute at native speed — perfect for monitoring tools, diagnostics, and performance-sensitive applications.
✅ Comprehensive Hardware Insights
HardView provides structured JSON data for:
- System Info (BIOS, motherboard, chassis)
- CPU & RAM (model, usage, real-time monitoring)
- Disks & Partitions (storage health, SMART data*)
- Network Adapters (configuration, status)
* SMART disk monitoring is Windows-only, which accounts for some differences in data coverage between Windows and Linux platforms.
✅ Real-Time Performance Tracking (New in 2.0!)
HardView 2.0 introduces built-in monitoring with customizable intervals:
import HardView, json
# Monitor CPU usage for 10 seconds, sampling every 500ms
cpu_log = json.loads(HardView.monitor_cpu_usage(10, 500))
# Output: Timestamped usage metrics
print(cpu_log[-1]["usage_percent"]) # Latest reading
🔑 Key Features in HardView 2.0
✅ Advanced Disk Monitoring (Windows)
Retrieve SMART diagnostics (temperature, health status, errors):
smart_data = json.loads(HardView.get_smart_info())
print(smart_data[0]["temperature_celsius"]) # SSD/HDD temp
✅ Unified Performance APIs
-
get_system_performance()→ CPU + RAM snapshot -
monitor_system_performance()→ Continuous logging
✅ Lightweight & Efficient
- No external dependencies.
- Works seamlessly in virtual environments.
✅ Extensible Architecture
- Modular by hardware domain
- Easy to extend (e.g., macOS support in the future)
👥 Who Should Use HardView?
- DevOps Engineers → System health dashboards
- Game Developers → Hardware-aware optimization
- Forensic Tools → Hardware fingerprinting
- Benchmarking Tools → Low-overhead telemetry
📊 What HardView Provides
Here’s a clear breakdown of the hardware data you can access using HardView:
| Category | Fields Provided | Notes |
|---|---|---|
| BIOS Info | Vendor, Version, Release Date | Windows & Linux |
| System Info | Manufacturer, Product Name, UUID, Serial Number | UUID/Serial may be N/A |
| Baseboard Info | Manufacturer, Product, Serial Number, Version | Baseboard = Motherboard |
| Chassis Info | Manufacturer, Type, Serial Number, Version | Type may be “Unknown” |
| CPU Info | Name, Manufacturer, Cores, Logical Processors, Max Clock Speed (MHz), Processor ID | Supports multiple CPUs |
| RAM Info | Total Physical Memory, Modules: Capacity, Speed, Manufacturer, Serial Number, Part Number | Lists all modules |
| Disk Drives Info | Model, Serial Number, Size, Media Type, Interface Type | |
| Partitions Info | Disk Model, Serial, Interface, Size, Media, Partition ID, Type, Size, Index | |
| SMART Info | Model, Serial, Interface, Size, Partitions, Firmware, Health Status, Temperature, Error Stats | Windows-only |
| Network Adapters | Description, MAC Address, IP Addresses, DNS Hostname | Multiple adapters supported (wired, wireless) |
| Performance Metrics | CPU Usage, RAM Usage, System Performance snapshot, Monitoring functions (interval-based) | Real-time tracking supported |
Note: SMART data collection is only available on Windows.
🚀 Get Started Now
pip install hardview
🔗 Website: https://hardview.netlify.app/ — Full docs, guides, and examples.
🔗 GitHub: https://github.com/gafoo173/HardView — Full source code, issues, and contributions.
📣 Have you tried HardView? Share your thoughts or use cases below!
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