narrativegraphs

Turn a collection of texts into an interactive narrative graph of entities and their relations and explore the structure of your corpus visually.

Installation

pip install narrativegraphs

Quick Start

from narrativegraphs import NarrativeGraph

docs: list[str] = [...]  # your list of documents
model = NarrativeGraph().fit(docs)
model.serve_visualizer()

Open the link in your terminal to explore the graph in your browser:

Features

• Plug'n'play solution – get started with a few lines of code
• Interactive browser-based visualizer – shipped with an interactive React app which can be hosted directly from Python, no extra dependencies
• See the original contexts that extracted entities and relations appear in
• Filter and query the graph by statistics, category, or timestamps
• Export graph and data to NetworkX and Pandas for your own custom analyses
• Modular structure – customize or switch out pipeline components to accommodate your use case.

Documentation

Full documentation and tutorials: kasperfyhn.github.io/narrativegraphs

Citation

If you use this package in academic work, please cite:

@software{narrativegraphs,
  author = {Fyhn, Kasper},
  title = {narrativegraphs: A Python package for narrative graph analysis},
  year = {2026},
  url = {https://github.com/kasperfyhn/narrativegraphs}
}