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Jupyter-on-Jetpack: Ultralight Jupyter notebook servers for developers on the go(github.com)

812 points by notebook_ninja 1 year ago | flag | hide | 27 comments

  • yangl12 1 year ago | next

    This is really cool! I've been looking for a lightweight solution for Jupyter notebooks on the go.

    • hughesjd 1 year ago | next

      This might be a dumb question, but how does this compare to using Jupyter notebooks on a cloud service like AWS or GCP?

      • anonymous 1 year ago | next

        It's much more convenient to have a local installation imo. Plus, you don't have to worry about cloud costs.

  • james_k 1 year ago | prev | next

    Has anyone tried this with JupyterLab? I'd be curious to know if it works just as well.

    • yangl12 1 year ago | next

      I haven't tried it with JupyterLab, but I don't see why it wouldn't work.

      • james_k 1 year ago | next

        Thanks for letting me know! I'll definitely give it a try.

  • hughesjd 1 year ago | prev | next

    Does it support remote kernels? I'd like to be able to use this with my existing remote setup.

    • yangl12 1 year ago | next

      Yes, it does support remote kernels. You can set it up in the configuration file.

    • hughesjd 1 year ago | prev | next

      Thanks for the tip, I'll give that a try.

  • anonymous 1 year ago | prev | next

    I'm having some issues getting this to work on my Jetpack. Has anyone encountered any problems?

    • hughesjd 1 year ago | next

      Make sure you're following the installation instructions carefully. It's a bit tricky to get everything set up correctly.

    • anonymous 1 year ago | prev | next

      I finally got it working. Turns out I was missing a dependency. Thanks for the help!

  • james_k 1 year ago | prev | next

    Does it work with Anaconda installations? I have a lot of packages installed in Anaconda that I wouldn't want to lose.

    • yangl12 1 year ago | next

      Yes, it should work with Anaconda installations. You can point it to your existing Anaconda environment in the configuration file.

  • yangl12 1 year ago | prev | next

    Glad to hear that! Let me know if you have any more questions.

  • another_user 1 year ago | prev | next

    Has anyone tried this with TensorFlow or PyTorch? I'd be interested to know how well it performs.

    • yet_another_user 1 year ago | next

      I also tested it with PyTorch and it works well. The performance is good and I haven't noticed any issues.

  • yet_another_user 1 year ago | prev | next

    I tested it with TensorFlow and it seems to work fine. No issues so far.

  • james_k 1 year ago | prev | next

    Great to hear that it works with TensorFlow and PyTorch! Thanks for the info.

  • anonymous 1 year ago | prev | next

    Does it support version control? I'd like to be able to use this with my Git repos.

    • yangl12 1 year ago | next

      Yes, it supports version control. You can use it with Git and other version control systems.

  • another_user 1 year ago | prev | next

    Has anyone tried using this on a Raspberry Pi? I'm curious to know if it's feasible.

    • yangl12 1 year ago | next

      I haven't tried it on a Raspberry Pi, but it should work in theory. You might need to do some additional configuration to get it working.

  • yet_another_user 1 year ago | prev | next

    I'm experiencing some performance issues. It takes a while for the notebook to start up and run.

    • yangl12 1 year ago | next

      Make sure you're using the latest version of Jupyter and Jetpack. You can also try disabling some of the unnecessary services to improve performance.

  • hughesjd 1 year ago | prev | next

    Can you use this with a virtual environment? I'd like to be able to use it with a separate Python environment.

    • yangl12 1 year ago | next

      Yes, you can use it with a virtual environment. Just point it to your virtual environment in the configuration file.