apibean-jupyter 0.1.0a4

Embed and manage Jupyter Server as a reusable Python component for applications and tools.

apibean-jupyter

apibean-jupyter is an infrastructure library for embedding and managing a Jupyter Server as a reusable Python component.

Instead of treating Jupyter as a standalone application, apibean-jupyter allows you to launch, configure, and control a Jupyter Server programmatically, making it suitable for tools, GUIs, notebooks automation, and managed processes.

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Why apibean-jupyter?

Jupyter is often started as a CLI tool (jupyter lab, jupyter server), which makes it difficult to:

• Embed Jupyter inside another application
• Manage its lifecycle from Python code
• Integrate it with process managers or dashboards
• Reuse the same configuration across tools

apibean-jupyter solves this by exposing Jupyter Server as a first-class Python object with a clear lifecycle and extension points.

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Features

• Embed Jupyter Server via a simple Python API
• Optional CLI for quick launching
• Clean separation between core logic and UI/tooling
• Plugin hooks for customization (kernels, extensions, reporters)
• Designed for uv run workflows and managed environments
• No dependency on GUI frameworks

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Installation

pip install apibean-jupyter

Or run it directly with uv:

uv run --with apibean-jupyter apibean-jupyter --root notebooks

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Quick Start (Python API)

from apibean_jupyter import JupyterServer

server = JupyterServer(
    root_dir="notebooks",
    ip="127.0.0.1",
)

print("Starting Jupyter at:", server.url)
server.start()

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Command Line Usage

apibean-jupyter --root notebooks

Show server information without starting:

apibean-jupyter --info

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Using with uv run

apibean-jupyter is designed to work well with uv:

uv run --with apibean-jupyter apibean-jupyter --root notebooks

It can also be embedded into other tools that depend on it.

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Extending via Plugins

apibean-jupyter provides a lightweight plugin system to hook into the server lifecycle:

• Pre/post initialization
• Pre/post server start
• Shutdown handling

This allows you to implement features such as:

• Kernel mapping
• JupyterLab extension configuration
• Metrics and reporting
• Integration with process managers

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Relationship to the apibean ecosystem

apibean-jupyter is part of the apibean ecosystem, a collection of libraries and tools focused on testability, automation, and developer tooling.

It is designed to be used alongside:

• apibean-notebook – notebook automation and analysis
• apibean-client – API and service interaction

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Design Philosophy

• Prefer composition over inheritance
• Keep CLI logic thin and reusable
• Avoid tight coupling with UI frameworks
• Make production behavior explicit and reproducible

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License

MIT License