jupyter-remote-runner 0.1.0

CLI interface to a persistent Jupyter kernel for code execution with timeout handling

Jupyter Remote Runner

A CLI interface to a persistent Jupyter kernel for code execution with timeout handling and streaming output.

Installation

Install using pipx (recommended):

pipx install .

Or using pip:

pip install .

Usage

Commands

• jupyter-remote-runner --help - Show help
• jupyter-remote-runner start - Start the Jupyter kernel daemon
• jupyter-remote-runner stop - Stop the daemon
• jupyter-remote-runner status - Check daemon status
• jupyter-remote-runner run <code> - Execute code in the persistent kernel

Run Command Options

• --timeout <seconds> - Set execution timeout (default: 60)
• --is-input - Send code as input to Python input() prompt

Examples

# Start the daemon
jupyter-remote-runner start

# Execute Python code
jupyter-remote-runner run "print('Hello World')"

# Execute shell command
jupyter-remote-runner run "!ls -la"

# Execute bash magic
jupyter-remote-runner run "%%bash\necho 'Hello from bash'"

# Continue previous command output
jupyter-remote-runner run " "

# Interrupt running command
jupyter-remote-runner run "C-c"

# Execute with custom timeout
jupyter-remote-runner run "import time; time.sleep(10)" --timeout 15

# Check status
jupyter-remote-runner status

# Stop the daemon
jupyter-remote-runner stop

Features

• Persistent Kernel: Maintains state between commands
• Streaming Output: Real-time output streaming
• Timeout Support: Configurable execution timeouts
• Cross-Platform: Works on Windows, macOS, and Linux
• Background Daemon: Runs kernel in background process
• Signal Handling: Support for interrupting long-running commands
• Input Support: Handle Python input() calls

Development

Run tests:

python test_cli.py

Run directly from source:

python -m jupyter_remote_runner --help