> ## Documentation Index
> Fetch the complete documentation index at: https://docs.hivenet.com/llms.txt
> Use this file to discover all available pages before exploring further.

# How can I open a Jupyter notebook with Compute?

> Launch and use a Jupyter notebook in your browser. No SSH or command line required.

Sometimes, you just want a fast way to run Python code or data science notebooks without fiddling with the command line or SSH keys. With Compute, you can launch a Jupyter notebook straight from your browser and start working right away. This is handy for anyone who prefers a graphical interface or needs to get up and running quickly.

Below, you’ll find a simple walkthrough on how to spin up a Jupyter notebook with Compute, open it in your browser, and even use the built-in terminal for command-line tasks. There’s also a video tutorial at the end, so you can follow along visually.

## What you’ll need

* A Hivenet account with access to Compute
* An active Compute balance
* A web browser (Firefox, Chrome, Edge, or Safari recommended)

## How to launch and access a Jupyter notebook

<Steps>
  <Step title="Create your Compute instance">
    * Sign in to your Hivenet account and go to the Compute dashboard.
    * Click **Create new instance**.
    * Select your desired resources (GPU, CPU, RAM, and storage).\
      ​\_(You can start small—just make sure it fits your workload.)\_
    * Under **Connectivity**, toggle on **Jupyter Lab Notebook**.
    * Finalize your settings and launch the instance.
  </Step>

  <Step title="Find the Notebook endpoint">
    * Once your instance is running, look for the three-dot menu next to it.
    * Select **Connectivity options**.
    * Copy the **Notebook endpoint** URL.
  </Step>

  <Step title="Open the notebook in your browser">
    * Paste the Notebook endpoint URL into a new browser tab.
    * Your browser may show a security warning because of a self-signed certificate. This is normal—just confirm you want to proceed.

    <Tip>
      Most browsers let you click “Advanced” and then “Proceed anyway.”
    </Tip>
  </Step>

  <Step title="Start working in Jupyter">
    * The Jupyter notebook interface will load in your browser.
    * Create or upload a new notebook and start coding as usual.
  </Step>

  <Step title="(Bonus) Use the built-in terminal">
    * In Jupyter, you can open a **Terminal** tab to run command-line tasks. No need for SSH!
    * This is perfect for quick file management or package installs right from your browser.
  </Step>
</Steps>

## What’s next?

* Remember to shut down your kernels and stop or terminate your instance when you’re done to avoid extra charges.
* For more tips on using Compute, see our [Getting Started with Compute](https://help.hivenet.com/en/articles/303638-launch-and-connect-to-your-first-compute-instance) guide.

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