Digital Humanities

Open-source platform for humanities research featuring AI-powered entity extraction (persons, organizations, locations, dates, events), semantic search across document collections, geospatial visualization for historical events, and archive research agents with 30+ curated international sources.

Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

Python package for teaching computational color theory through art history. Extracts and analyzes artist-specific works from WikiArt with color palette extraction, harmony detection, and 17 progressive Jupyter notebooks for digital humanities education.

R package for stylometric analyses.

OCR toolkit.

A curated list of awesome things related to digital history.

A curated list of awesome resources related to the International Image Interoperability Framework (IIIF).

This list contains links to great software tools and libraries and literature related to Optical Character Recognition (OCR).

A curated list of awesome tools, demos and resources to go beyond LaTeX.

Resources to archive the web.

Slack channels for digital humanities scholars.

The JupyterHub Workspace aims to be a collaborative programming and code-sharing platform. It provides access to browser-based Jupyter Notebooks, which integrate code with explanatory text, and are already used as a new publishing form. Data can be shared using the Nextcloud backend. A single sign-on mechanism simplifies access. By sharing useful code snippets among users, a growing examples collection further lowers the entrance barrier to programming for new DH members.

A diverse range of Jupyter notebooks, comprising research materials, course content, Python tutorials, and specific analysis tools.

Analyze cultural artifacts with Python.

JavaScript library for visualizing geospatial data and make thematic maps for the web.