jupyter-next
Jupyter notebook support with interactive computing, kernel management, and rich output rendering.
asiloisad 10 0 0.2.2 MIT GitHub
  • Made for Pulsar!

    This package was written specifically for Pulsar and did not exist in the Atom package repository.

jupyter-next

Jupyter notebook support with interactive computing, kernel management, and rich output rendering.

  • Open and edit Jupyter notebooks (.ipynb files)
  • Execute code cells with real-time output
  • Markdown cells with live preview
  • Multiple kernel support (Python, Julia, R, and more)
  • Rich output rendering including images, HTML, LaTeX, and plots
  • Cell operations: insert, delete, move, merge, split
  • Keyboard shortcuts compatible with Jupyter conventions
  • Export notebooks to Python scripts or HTML
  • Status bar integration showing kernel status

Installation

To install jupypter-next search for jupypter-next in the Install pane of the Pulsar settings or run ppm install jupypter-next. Alternatively, you can run ppm install asiloisad/pulsar-jupypter-next to install a package directly from the GitHub repository.

Make sure hydrogen-next is installed, because this package reuse it elements.

Usage

Opening a Notebook

  • Open any .ipynb file
  • Or use Packages > Jupyter > New Notebook
  • Or use the command palette: Jupyter Panel: New Notebook

Running Cells

  • Shift+Enter: Run cell and advance to next
  • Ctrl+Enter: Run cell and stay
  • Alt+Enter: Run cell and insert new cell below

Cell Operations

  • A: Insert cell above (command mode)
  • B: Insert cell below (command mode)
  • D D: Delete cell (command mode)
  • M: Change to markdown (command mode)
  • Y: Change to code (command mode)

API

The package provides a service that other packages can consume:

// In your package
consumeJupyter(jupyter) {
  // Get kernel manager
  const kernelManager = jupyter.getKernelManager()

  // Get active notebook
  const notebook = jupyter.getActiveNotebook()

  // Run code
  const result = await jupyter.runCode('print("Hello")', 'python3')

  // Subscribe to kernel status changes
  jupyter.onDidChangeKernelStatus(({ kernelName, status }) => {
    console.log(`Kernel ${kernelName} is now ${status}`)
  })
}

Contributing

Got ideas to make this package better, found a bug, or want to help add new features? Just drop your thoughts on GitHub — any feedback's welcome!