ProjectPhysX

ProjectPhysX / hw-smi

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A minimal, cross-compatible CPU/GPU telemetry monitor with accurate data directly from vendor APIs and beautiful ASCII visualization.

amd ascii bandwidth command-line-tool cpu
14
1
100% credibility
Found Apr 09, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C++
AI Summary

hw-smi is a terminal-based hardware monitor that displays real-time CPU and multi-vendor GPU metrics like usage, memory, temperature, power, and clocks using ASCII graphs or colored progress bars.

How It Works

1
🔍 Discover hw-smi

You hear about a simple tool that shows your computer's processor and graphics card activity with pretty charts right in the screen.

2
💾 Get the files

Download the program files from the project page and follow the friendly guide to prepare it on your Windows or Linux computer.

3
🚀 Launch the monitor

Open your command window, run the program (use admin mode for best results), and choose graphs or bars to start watching.

4
👀 Watch your hardware

Spot CPU cores buzzing, graphics power draw, temperatures rising, and fans whirring as you game or work.

😊 Perfect monitoring

You now easily keep tabs on your computer's health with clear, beautiful visuals anytime.

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Star Growth

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AI-Generated Review

What is hw-smi?

hw-smi is a lightweight C++ tool for real-time CPU and GPU telemetry, pulling accurate metrics like usage, memory, temperature, power, clocks, and PCIe bandwidth directly from vendor APIs on Windows and Linux. It solves the hassle of juggling nvidia-smi, rocm-smi, and scattered CPU tools by unifying them into one cross-vendor monitor with stunning ASCII bar charts or line graphs. Run `sudo hw-smi --graphs` for instant terminal viz—no bloat, just data.

Why is it gaining traction?

Unlike GUI-heavy apps or vendor-specific CLIs, hw-smi delivers a minimal github-style api feel: compiles to a single binary via simple make.sh, auto-detects NVIDIA/AMD/Intel drivers, and renders beautiful, responsive ASCII plots that scale to your terminal. Its accuracy from raw APIs beats estimates in top tools, with per-core CPU graphs and GPU breakdowns standing out for quick insights during loads.

Who should use this?

GPU devs tuning ML workloads or game renders on multi-vendor rigs, sysadmins eyeing server thermals without X11, and Linux tinkerers needing precise PCIe/memory stats during benchmarks. Ideal for CLI fans ditching bloated monitors like MSI Afterburner.

Verdict

Grab it if you want dead-simple, accurate telemetry—14 stars and 1.0% credibility score scream early days with thin docs, but the core delivers for minimal setups. Fork and contribute; it's raw potential.

(178 words)

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