mitulgarg/env-doctor
Debug your GPU, CUDA, and AI stacks across local, Docker, and CI/CD (CLI and MCP server)
This tool helps AI/ML practitioners troubleshoot why their GPU-accelerated Python applications, like those using PyTorch or TensorFlow, aren't working as expected. It takes information about your system's GPU, drivers, and installed AI libraries, then identifies compatibility issues such as mismatched CUDA versions or incorrect GPU architecture. The output tells you exactly what's wrong and provides specific commands to fix it, ensuring your AI models run smoothly.
125 stars. Available on PyPI.
Use this if you are a machine learning engineer, data scientist, or researcher struggling to get your AI models to run on your GPU due to mysterious errors, especially related to CUDA, drivers, or Python library versions.
Not ideal if you are solely working with CPU-bound applications or do not encounter issues with your GPU and AI software stack.
Stars
125
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
Dependencies
7
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