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Asked: 2024-09-25T05:39:20+05:30 In:

How can I access a Jupyter Notebook that is running on a virtual machine? I’m looking for guidance on setting it up so that I can work on it remotely. What steps should I follow to ensure it’s accessible?

I’ve been working with Jupyter Notebooks on my local machine, but now I’m trying to switch things up a bit by running it on a virtual machine (VM) for some remote projects. The goal is to access the Jupyter Notebook from anywhere, but I hit a snag in figuring out how to set everything up properly. I was really excited to get started but realized I need some help navigating the whole process.

First off, I’ve managed to set up the VM on either AWS or Google Cloud—can’t remember which one specifically—so that part is done. However, from there, I’m lost. I assume I need to install Jupyter Notebook on the VM itself, right? My concern is about accessing it remotely once it’s up and running.

Do I need to do anything special with firewall settings or open specific ports? I’ve read that the default port for Jupyter Notebook is 8888, but is that secure to use as is? Should I be using HTTPS instead of HTTP? And what about authentication? I’ve heard that it’s always better to set a password, but how do I do that in a VM environment?

Also, I’d love to know if there are any specific configurations I should tweak in the Jupyter configuration file to make things easier for remote access. I’ve seen some mention of creating an SSH tunnel, but honestly, that seems a bit complex, and I’m not entirely sure I understand how that works.

Lastly, if I can get the above sorted out, how do you actually connect to the Jupyter Notebook from my local browser? Do I just type in the IP address followed by the port number? I really want to ensure I can smoothly work on my projects without constantly worrying about security or connection issues.

If anyone has gone through this process or has any tips and tricks, I’d appreciate the insights! Thank you!

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    2 Answers


    1. To set up Jupyter Notebook on your virtual machine for remote access, first ensure that Jupyter is installed on the VM. You can do this by connecting to your VM and running the command pip install notebook. After installation, you should configure Jupyter to allow remote access. Open or create the configuration file (you can generate it by running jupyter notebook --generate-config), and then edit it to set c.NotebookApp.ip = '0.0.0.0', which allows access from any IP address. Additionally, configure the port by adding c.NotebookApp.port = 8888 and enable password authentication with c.NotebookApp.password = 'sha1:...' . You can generate a hashed password using Python in the Jupyter shell: from notebook.auth import passwd; passwd().

      Regarding firewall settings, you’ll need to ensure that the port you’ve chosen (8888) is open in your VM’s firewall settings. It’s advisable to use this port with HTTPS for better security; you can set up a self-signed SSL certificate or use a service like Let’s Encrypt to secure your connection. As for SSH tunnels, they provide an additional layer of security. To create an SSH tunnel, you’d run a command like ssh -L 8888:localhost:8888 user@your_vm_ip, allowing you to access Jupyter through http://localhost:8888 on your local machine. Once you’ve handled the configurations, you can connect to the Jupyter Notebook by entering your VM’s public IP address followed by the port number in your local browser (e.g., http://your_vm_ip:8888).




    2. Setting Up Jupyter Notebook on a VM

      Setting Up Jupyter Notebook on a Virtual Machine

      Ok, so you’re on the right track! Setting up Jupyter Notebook on a VM can sound tricky, but let’s break it down step by step.

      1. Installing Jupyter Notebook

      First things first, yes, you need to install Jupyter Notebook on your VM. You can do this by SSH-ing into your VM and running:

      pip install notebook

      2. Configuring Jupyter Notebook for Remote Access

      Now, for accessing it remotely, you need to configure a few things. You can run the notebook with the command:

      jupyter notebook --no-browser --ip=0.0.0.0 --port=8888

      The --ip=0.0.0.0 flag allows access from any IP, which is what you want here.

      3. Firewall Settings

      About firewalls: yes, you’ll need to open port 8888 on your VM. If you’re using AWS, you can do this in the Security Groups section. For Google Cloud, check the “Firewall rules” in your VM settings. Just make sure to allow TCP traffic on port 8888.

      4. Security Concerns

      As for security, it’s better to use HTTPS instead of HTTP to protect your data. You can set this up by following Jupyter’s official guide for SSL certificates.

      5. Setting a Password

      For authentication, it’s definitely a good idea to set a password. You can do this by running:

      jupyter notebook password

      It will prompt you to create a password.

      6. Jupyter Configuration File

      If you want to tweak more settings, you can generate a config file by running:

      jupyter notebook --generate-config

      This will create a file at ~/.jupyter/jupyter_notebook_config.py where you can set various options like c.NotebookApp.allow_origin = '*' # for CORS for example.

      7. SSH Tunnel (Optional)

      Creating an SSH tunnel can seem complicated, but it’s basically a secure way to access your VM. You would run a command like:

      ssh -L 8888:localhost:8888 your-user@your-vm-ip

      Then you can access it from your local browser at localhost:8888.

      8. Connecting from Your Local Browser

      Once everything is set up, just type your VM’s IP address followed by :8888 in your browser. If you set a password, it’ll ask for that to log in!

      Good luck! You’ve got this! If you run into other issues, just reach out!


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