awesome-knowledge-graph

multi-model graph database with SQL and Cypher support based on PostgreSQL

highly available Multi-Model NoSQL database

open-source type-safe graph database server with GUI, written in rust. Supports , JSON & RDF

Blazegraph

GPU accelerated graph database

Cayley

open source database written in Go

cloud-based multi-model database with support for TinkerPop3

Fast, Transactional, Distributed Graph Database (open source, written in Go)

Graph layer on top of DataStax Enterprise (Cassandra, SolR, Spark)

a database with a rich and logical type system

Graphd

the Metaweb/Freebase Graph Repository

an open-source, distributed graph database with pluggable storage and indexing backends

High Performance, In-Memory, Transactional Graph Database

OLTP graph database

makes space and performance compatible with a small footprint and a fast analysis of large networks

RDF graph database with OLTP and OLAP support

Distributed Multi-Model NoSQL Database with a Graph Database Engine

a complete, distributed, parallel graph computing platform for enterprise, supporting web-scale data analytics in real-time

A truly distributed, linear scalable, lightning-fast graph database, using SQL-like query language

HugeGraph

An open source TinkerPop 3 compliant OLTP Graph Database with pluggable storage bakcend which is similar to JanusGraph. It also supports OLAP through Spark GraphX

One of three Western entities to crawl a majority of the web. Largest commercially available knowledge graph

A graph database built on top of Postgres, which allows you to query the dataset in both SQL and graph query languages including SQL, SPARQL, and GraphQL

A highly scalable, extremely fast, and very easy-to-use embeddable graph database

A Micro Graph Database for Python Applications

Graph database behinde Alipay. It has achieved the top-ranking performance in LDBC-SNB, a globally recognised benchmark test, surpassing competing solutions

high-performance, persistent graph database that scales to billions of quads

open source Java framework for building Semantic Web and Linked Data applications

Data, and its history, via change requests at scale

(formerly known as Sesame) is an open source Java framework for processing RDF data. This includes parsing, storing, inferencing and querying of/over such data. It offers an easy-to-use API that can be connected to all leading RDF storage solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web

enterprise ready Semantic Graph Database, compliant with W3C Standards

a "Data Junction Box" that drives enterprise and individual agility by deriving a Semantic Web of Linked Data from existing data silos

(retired Apache project) an open platform for linked data

Oxigraph

a light wight triple store written in Rust

an iterative graph processing system built for high scalability

a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP)

Apache Spark's API for graphs and graph-parallel computation

Tencent Plato

a fast distributed graph computation and machine learning framework used by WeChat

Gradoop

a distributed graph analytics framework based on Apache Flink

AntV G6

Simple, easy and complete high performance graph visualization engine written in JavaScript, from Ant Financial

Graphistry

An end-to-end GPU visual graph analytics engine (Nvidia RAPIDS.ai / Apache Arrow) with interfaces including JS/React, Python (Jupyter/StreamLit), REST, rich no-code/low-code UIs for various databases, and self + cloud hosting, from Graphistry

Graph visualization platform software runs on Windows, Mac and Linux

Graph visualization tookits for JavaScript and React developer from Cambridge Intelligence

Linkurious is an enterprise ready on-premises graph visualization and analysis platform

Open source graph visualization platform software runs on Windows, Mac and Linux

Graph visualization tookit for JavaScript

JavaScript library aimed at visualizing larger graphs

Morph-KGC

Knowledge graph generation system with RML mappings

A Virtual Knowledge Graph engine for querying SQL data sources and transform SQL data sources through R2RML mappings

A commercially supported no code software for creating and maintaining large sets of R2RML mappings

A very simple graphical editor to create Terms and Relations. It can use ChatGPT, Google Bard or any other chatbot. Ideal for beginners wanting to make and share quick sketches

The query language of Dgraph, which is based on Facebook's GraphQL

An initiative to create a standard query language for property graph database, just like SQL for relational database

Azure Cosmos DB is Microsoft's globally distributed, multi-model (Key-value, Document, Column, Graph) database service

JanusGraph on Google Kubernetes Engine backed by Google Cloud Bigtable

JanusGraph @ Amazon Web Services Labs

The Amazon DynamoDB Storage Backend for JanusGraph

End-to-end Graph Database hosting for Community and Enterprise Neo4j with expert help for development

a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets

Fully-managed, distributed, at-scale graph query and analysis service that provides a visualized interactive analytics platform

highly reliable and available property graph database that supports ACID and TinkerPop Gremlin query language

One stop platform for Graph database, computing and visualization. Currently available in beta test and only in Chinese

Easy-to-use SEO-focused Graph Database hosting for web and e-commerce websites running on Apache Marmotta

One-stop AI platform to build knowledge graph and its applications

Graphistry

Cloud accounts for Graphistry end-to-end GPU-accelerated visual graph analytics projects

Harvesting, Searching, and Ranking Knowledge from the Web

Dedupe

dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data

LIMES

Link Discovery Framework for Metric Spaces

Both a , with lexicographic and encyclopedic coverage of terms, and a which connects concepts and named entities in a very large network of semantic relations, made up of about 16 million entries, called Babel synsets. Each Babel synset represents a given meaning and contains all the synonyms which express that meaning in a range of different languages

Wikidata is a free, collaborative, multilingual, secondary database, collecting structured data to provide support for Wikipedia, Wikimedia Commons, the other wikis of the Wikimedia movement, and to anyone in the world

Google’s Knowledge Graph has millions of entries that describe real-world entities like people, places, and things

Large scale knowledge base originally stated by Metaweb. Later aquired by Google and used in

DBpedia is a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects

A large-scale English-Chinese bilingual knowledge graph by structuring and integrating Chinese Wikipedia, English Wikipedia, French Wikipedia, and Baidu Baike

The GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world

A huge semantic knowledge base, derived from , and . Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. The source code of YAGO is in this Github

Knowledge Graph data extracted from the largest Chinese encyclopedias, , and

Never-Ending Language Learner, read the web and extract facts from text found in web pages continuously and improve itself

A decentralized canonical knowledge graph. It is open, transparent, consensus, bounty enabled and built in the age of Web 3

ConceptNet is a freely-available semantic network, designed to help computers understand the meanings of words that people use

For Short Text Understanding

An Open Sememe-based Lexical Knowledge Base in Chinese

A free large lexical database of English from Princeton University

Aminer aims to provide comprehensive search and mining services for researcher social networks

Microsoft Academic (MA) employs advances in machine learning, semantic inference and knowledge discovery to help you explore scholarly information in more powerful ways than ever before

Academic search engine based on knowledge graph which includes entities like paper, author, institution and etc

A free, AI-powered research tool for scientific literature. Collaborating with academic publishers to build a trustworthy and authoritative scientific knowledge graph

an ecosystem of smart cloud services to better manage compliance, based on a Legal Knowledge Graph (LKG) which integrates and links heterogeneous compliance data sources including legislation, case law, standards and other private contracts

A culture heritage knowledge graph from the British Museum

The UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records

Knowledge base for drug interactions, pharmacology, chemical structures, targets, metabolism, and more

A database of known and predicted protein-protein interactions

reference documentation

reference documentation

Graph Book

TinkerPop3 centric book written by

transition from SQL to Gremlin by

minimum survival kit for any Gremlin user, 10 blog post series by

powered by Neo4j

an Independent Graph Conference from the Data Day folks

Connected Data London brings together 160+ Artificial Intelligence, Semantic Technology, Linked Data and Graph Database innovators, thought leaders and practitioners annually in one great conference. The conference has expanded its themes and tracks, from its roots as the primary conference for Knowledge Graphs, Linked Data and Semantics to include related Graph Database and AI / Machine Learning technologies and practical use cases

awesome-graph

Graph, the infrastructure for Knowledge Graph

awesome-knowledge-graph

Knowledge graph related materials but all in Chinese