joeynyc/spark-doctor
Local diagnostic CLI for NVIDIA DGX Spark (GB10). Detects power caps, UMA pressure, thermal risk, CUDA 13/SM_121 wheel mismatches, Docker issues, and validates vLLM/Ollama/llama.cpp/SGLang recipes.
- Stars
- 164
- Forks
- 14
- Open issues
- 0
- Last push
- 4d ago
spark-doctor star history
+2 this week
About spark-doctor
spark-doctor is a free, open-source LLM chat app by joeynyc, written mainly in Python. Local diagnostic CLI for NVIDIA DGX Spark (GB10). Detects power caps, UMA pressure, thermal risk, CUDA 13/SM_121 wheel mismatches, Docker issues, and validates vLLM/Ollama/llama.cpp/SGLang recipes. It has 164 GitHub stars and 14 forks, and was last updated 4d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 164
- Last update
- 4d ago
- Runs on Mac
- Not stated
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not required
- Self-hostable
- Yes
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spark-doctor FAQ
Can I use spark-doctor commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is spark-doctor free?
Yes. spark-doctor is open source and free to use. It's released under the MIT license, a standard open-source license.
Does spark-doctor run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does spark-doctor need a GPU?
No. According to the project, spark-doctor runs on a regular CPU.
Is spark-doctor still maintained?
Yes. It was last updated 4d ago and has 0 open issues on GitHub.
What are alternatives to spark-doctor?
Similar free, open-source tools include ollama, Vane, self-llm, local-deep-research.
Maintain spark-doctor?
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