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A tool that exports a Jupyter Notebook to HTML format using nbconvert’s HTMLExporter, enabling web-based presentation of notebooks.

Project description

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Swarmauri Tool Jupyter Export HTML

Converts a Jupyter notebook (passed in as JSON) to HTML using nbconvert’s HTMLExporter with optional custom templates, CSS, and JavaScript.

Features

  • Accepts notebook data as a JSON string (e.g., from json.dumps(nbformat.read(...))).
  • Supports optional template, inline CSS, and inline JS injection.
  • Returns a dict containing exported_html or error when conversion fails.

Prerequisites

  • Python 3.10 or newer.
  • nbconvert, nbformat, and Swarmauri base/core packages (installed automatically).

Installation

# pip
pip install swarmauri_tool_jupyterexporthtml

# poetry
poetry add swarmauri_tool_jupyterexporthtml

# uv (pyproject-based projects)
uv add swarmauri_tool_jupyterexporthtml

Quickstart

import json
import nbformat
from swarmauri_tool_jupyterexporthtml import JupyterExportHTMLTool

notebook = nbformat.read("notebooks/example.ipynb", as_version=4)
notebook_json = json.dumps(notebook)

exporter = JupyterExportHTMLTool()
response = exporter(
    notebook_json=notebook_json,
    template_file=None,
    extra_css="body { font-family: Arial; }",
    extra_js="console.log('Export complete');",
)

if "exported_html" in response:
    Path("notebooks/example.html").write_text(response["exported_html"], encoding="utf-8")
else:
    print("Error:", response["error"])

Tips

  • nbconvert templates let you customize the layout; pass a .tpl file to template_file.
  • Keep extra_css/extra_js lightweight to avoid bloating the HTML output.
  • Combine with notebook execution tools (execute → export → publish) for end-to-end pipelines.

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.

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