MiaAI-Lab/sparkDash
sparkDash ⚡ — Multi-DGX Spark Monitoring Dashboard
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #95 of 2,531 repositories GStars tracks this week (top 4%).
3 releases in the last 90 days, the latest 7 days ago, with 32 contributors on GitHub.
Peaked at #83 in the weekly ranking the week of Oct 11, its best in the past year.
Use Cases & Benefits
- Provides a real-time web dashboard to monitor multiple NVIDIA DGX Spark and other GPU-equipped machines via SSH, displaying GPU, CPU, memory, network, storage, and LLM metrics.
- Enables seamless multi-unit monitoring with live streaming, hot configuration changes, and support for diverse OSes and GPU types without restarts or code changes.
- Use for centralized monitoring of large DGX Spark clusters to track hardware health, LLM performance, and system resource usage in real time.
- Use for managing and benchmarking local or remote LLM servers with integrated decode, prefill, and quality benchmarks alongside hardware metrics.
- Use for monitoring heterogeneous GPU hosts including Windows PCs with NVIDIA or AMD GPUs, with agentless data collection and detailed per-GPU and memory insights.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
macOS (darwin) SSH collectors authored by C. Michael Gibbs and Nyx Voss (Onyx AI Labs) — commits. sparkDash by Mia's AI Lab.
sparkDash is a real-time web dashboard for one or more NVIDIA DGX Spark (GB10) machines in a single browser window. It streams GPU, CPU, unified memory, storage, network, and local LLM metrics — and lets you add, edit, reorder, or remove Sparks from the UI without restarts or code changes.
It also supports non-Spark units: any Linux machine with an NVIDIA GPU (e.g. a workstation with a dedicated RTX/L-series card) can be added as a dedicated GPU host and monitored the same way via SSH and
nvidia-smi. For these units the dashboard correctly separates RAM (system memory) from VRAM (discrete GPU memory).Monitored units run Linux, macOS, or Windows (a Windows PC with an NVIDIA GPU — or an AMD-iGPU Windows host like a Strix Halo, whose GPU usage comes from Windows' GPU engine counters; see Windows PCs).
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+160 stars over 11 days across 10 snapshot days; best day +10 on Oct 14.
Forks
153+39
Open issues
19-3
Compared with peers in Analytics
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| CopilotKit/OpenIntelligentUI | 3.5K | +661 | 23 | — |
| ErTasselli/OpenTerminal | 1.9K | +239 | 28 | 43 days ago |
| poloclub/transformer-explainer | 9.0K | +143 | 75 | 858 days ago |
| Bennettxai/FounderOS | 1.2K | +128 | 75 | — |
| MiaAI-Lab/sparkDash | 709 | +70 | 75 | 7 days ago |
| netdata/netdata | 81.1K | +0 | 75 | 12 days ago |
| Category median | 3.5K | +143 | 75 | — |
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