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PyTextRank logo

a popular Python implementation of multiple textgraph graph algorithms for phrase extraction, provided as a configurable spaCy pipeline component.

  • lightweight phrase extraction (unsupervised learning, CPU-based)
  • leverages available NER capabilities within a pipeline
  • uses: enhance indexing and document similarity; building knowledge graphs
kglab logo

a simple Python abstraction layer for Graph Data Science, integrating NetworkX, RAPIDS, RDFLib, Morph-KGC, pythonPSL, and more.

  • provides PyData-esque interfaces to other popular graph libraries
  • includes several Jupyter-based graph data science tutorials
  • uses: building knowledge graphs; integrating disjoint graph technologies
mkrefs logo

MkDocs plugin to generate semantic reference Markdown pages from a knowledge graph

  • biblio – semantic bibliography entries, generated from RDF
  • glossary – semantic glossary entries, generated from RDF
  • apidocs – semantic apidocs supporting the Diátaxis grammar for documentation, generated as RDF from Python modules
disparity_filter logo

implements a disparity filter in Python, based on NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)

  • analogous to centrality calculated on the edges of a graph rather than its nodes; in other words, consider this as a "dual" problem of the typical graph analysis of social networks
  • uses: paring down automatically-generated graphs, such as those produced by NLP methods

recommended projects within our community:
Argilla logo

the open-source data curation platform for LLMs, integrating closely with Hugging Face, LangChain, LlamaIndex, and more.

Morph-KGC logo

an engine that constructs RDF, knowledge graphs from heterogeneous data sources with the R2RML and RML mapping languages.

KùzuDB logo

a highly scalable, extremely fast, and very easy-to-use embeddable graph database, implementing openCypher in Python for labeled property graphs

Oxigraph logo

a high performance Python graph database library as a drop-in replacement for RDFlib, written in Rust and built atop RocksDB

SpanMarker logo

a framework for training powerful Named Entity Recognition models using familiar encoders such as BERT, RoBERTa and ELECTRA, built atop 🤗 Transformers

SetFit logo

an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers

Graph of Thoughs logo
Graph of Thoughs

solve complex problems by modeling them as a Graph of Operations (GoO), which is automatically executed with a Large Language Model (LLM) as the engine

dotmotif logo

a performant, powerful query framework for identifying subgraphs or motifs in a large graph, based on NetworkX

datasketch logo

probabilistic data structures that can process and search very large amount of data super fast, with little loss of accuracy

pydantic-aioredis logo

a declarative ORM for Redis using Pydantic models and aioredis

Unstructured logo

build custom preprocessing pipelines for labeling, training, or production machine learning

calmcode logo

Made by people who want to remedy the skill anxiety. Short and simple video lessons that start from scratch. Tools and thoughts that might make your professional life more enjoyable. company logo

We can help your organization develop and deploy AI applications!

Derwen provides software development, open source integration, security hardening, and performance optimization, focusing on enterprise applications which leverage natural language and graph technologies.

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Areas of expertise within our firm include:

  • graph data science applications
  • developing précis, executive briefings, expert presentations
  • technical co-authoring for books, industry reports, whitepapers, etc.
  • methods for using natural language (LLMs, etc.) to build knowledge graphs
  • leveraging W3C semantic graphs and LPG labeled property graphs together
  • integrating graph visualization frameworks and customized UI/UX
  • applications of probabilistic graphs
  • expert software engineering+packaging in Python and C++
  • developing APIs and services based on FastAPI/Pydandtic/Redis/Thespian
  • parallelization and performance analysis+optimization
  • building human-in-the-loop pipelines to enrich your data
  • using distributed systems and cloud computing in general

Partner firms include:

The Data Chefs Big Data Institute DataSpartan Gradient Flow

Disclaimer: all trademarks, service marks, trade names, trade dress, product names, and logos appearing above are the property of their respective owners

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Graph Data Science

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Derwen publication on newsletter summaries, articles, conferences, announcements

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Connected Data World

Community, Events, Thought Leadership: for those who use the relationships, meaning and context in data to achieve great things

KGC logo
Knowledge Graph Conference

brings together leaders across industry and research defining the future of semantic technologies and AI

ISWC logo

a home for Earth science data professionals, sponsored by NOAA, NASA, USGS, with knowledge graph collaboration areas

ISWC logo
ISWC Conference

the premier international forum for the Semantic Web and Linked Data Community

AKBC logo
AKBC Conference

a research forum for all areas of knowledge base construction, in both academia and industry

Graph Day logo
Graph Day

graph events from the folks at Global Data Geeks

Graph Day logo
Hugging Face

the AI community building the future

spaCy logo

industrial-strength Natural Language Processing (NLP) in Python