# ArcadeRenegade/SidebarDiagnostics

A simple sidebar for Windows desktop that displays hardware diagnostic information.

Repository: https://github.com/ArcadeRenegade/SidebarDiagnostics
Canonical: https://ross.abutalabs.com/products/sidebardiagnostics
Language: C#
License: GPL-3.0
License Family: copyleft
Last push: 2024-01-17T18:10:24+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3878, "days_push": 959, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2564, forks 224 (observed 2026-08-28T04:07:01.089212+00:00)

## What it is
A Windows desktop sidebar application that displays real-time hardware diagnostic information such as CPU, RAM, GPU, network, and drive metrics. It is written in C#/.NET WPF and uses Libre Hardware Monitor for sensor data.

## Use cases
- monitor cpu and gpu temps on my desktop
- show ram usage in a sidebar on windows
- display hardware stats while gaming
- get alerts when cpu temperature is too high
- graph network and disk usage on windows
- customize a hardware monitoring overlay for my monitor

## When to choose
- you want a persistent, customizable sidebar showing hardware stats on Windows
- you need graphs and alerts for CPU, RAM, GPU, network, or drive metrics
- you prefer a free, open-source alternative to vendor monitoring tools

## When to avoid
- you need monitoring on Linux or macOS
- you need remote or headless server monitoring
- you cannot run the application with administrator privileges

## Facets
- artifact type: application
- maturity: maintenance
- function: monitoring, alerting
- domain: developer-tools, windows, hardware
- platform: windows
- tags: hardware-monitoring, system-diagnostics, sidebar, wpf, cpu, gpu, ram, librehardwaremonitor, desktop

## Member repositories
- ArcadeRenegade/SidebarDiagnostics (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:01.089212+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:23:27.197294+00:00, confidence not recorded.
  - readme: https://github.com/ArcadeRenegade/SidebarDiagnostics (fetched 2026-08-28T04:07:01.089212+00:00, sha 3e98b934f4bd)
- Data as of 2026-08-30T08:39:29.467469+00:00.