GraphAware

Login: graphaware

Company: null

Location: UK & Worldwide

email: github@graphaware.com

Blog: http://www.graphaware.com

Members

  1. Alberto De Lazzari
  2. Lorenzo Speranzoni
  3. Nicolas Mervaillie
  4. Omar Rampado

Repositories

docker-elk
null
elasticsearch-tests-integration
Testing Support for GraphAware Neo4j<->Elasticsearch Integration
gitflow-maven-plugin
The Git-Flow Maven Plugin supports various Git workflows, including GitFlow and GitHub Flow. This plugin runs Git and Maven commands from the command line.
github2cypher
Github Events Converted To Neo4j Cypher Queries
GithubNeo4j
Demo Application importing User Github Public Events into Neo4j
graph-aided-search
Elasticsearch plugin offering Neo4j integration for Personalized Search
graph-aided-search-demo
null
graphaware-starter
A sample project that gets you quickly started with the GraphAware Framework
graphgen
Easy generation of dummy Neo4j graphs with PHP
issuebot_nlp_meetup
Issue Mention Bot using Neo4j and NLP demo code for the Neo4jFR meetup at Prestashop
modules-features-test
null
neo4j-algorithms
Custom graph algorithms for Neo4j with own Java and REST APIs
neo4j-bolt-php
PHP Driver for Neo4j's Binary Protocol : Bolt
neo4j-casual-cluster-quickstart
A demonstration of causal clustering using Docker
neo4j-changefeed
A GraphAware Framework Runtime Module allowing users to find out what were the latest changes performed on the graph
neo4j-expire
GraphAware Module for Expiring (Deleting) Nodes and Relationships
neo4j-framework
GraphAware Neo4j Framework
neo4j-graphgen-procedure
Neo4j Procedure for generating test data
neo4j-ha-configuration
Neo4j HA cluster configuration (example)
neo4j-importer
Java importer skeleton for complicated, business-logic-heavy high-performance Neo4j imports directly from SQL databases, CSV files, etc.
neo4j-lifecycle
null
neo4j-logging-logstash-elk
null
neo4j-nlp
NLP Capabilities in Neo4j
neo4j-nlp-docker
null
neo4j-nlp-opennlp
null
neo4j-nlp-stanfordnlp
null
neo4j-noderank
GraphAware Timer-Driven Runtime Module that executes PageRank-like algorithm on the graph
neo4j-ogm
Java Object-Graph Mapping Library for Neo4j
neo4j-php-client
PHP Client for Neo4j with Enterprise Support
neo4j-php-commons
Common Utility Classes for using Neo4j in PHP
neo4j-php-ogm
Neo4j Object Graph Mapper for PHP
neo4j-php-ogm-tutorial
Code repository for the neo4j-php-ogm documentation's tutorial http://neo4j-php-ogm.readthedocs.io/en/latest/getting_started/tutorial/
neo4j-php-response-formatter
Advanced Neo4j Http Response Formatter Extension for NeoClient
neo4j-rabbitmq-integration
GraphAware module offering transaction data to be sent as json to RabbitMQ
neo4j-reco
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
neo4j-relcount
GraphAware Relationship Count Module
neo4j-resttest
Library for testing Neo4j code over REST
neo4j-stress-test
null
neo4j-tests-integration
null
neo4j-timetree
Java and REST APIs for working with time-representing tree in Neo4j
neo4j-to-elasticsearch
GraphAware Framework Module for Integrating Neo4j with Elasticsearch
neo4j-toolkit
CLI Toolkit for the Neo4j Graph Database
neo4j-uuid
GraphAware Runtime Module that assigns a UUID to all nodes (and relationships) in the graph transparently
neo4j-warmup
Simple library that warms up Neo4j caches with a single REST call
neoclient-timetree-extension
Leveraging the Neo4j TimeTree Extension in PHP with NeoClient
offheap
null
php-graphunit
Neo4j Graph Database Assertion Tool for PHPUnit
php-simplemq
RabbitMQ's Rapid Application Development based on YAML definition
reco
Generic Recommendation Engine Skeleton
reco4php
Neo4j based Recommendation Engine Framework for PHP
recommendation-bundle
null
recommendations-meetup
Skeleton for Meetup - Building your own recommendation engine in an hour
sdn-superheroes
null
spring-data-neo4j
Provides support to increase developer productivity in Java when using the neo4j graph database. Uses familiar Spring concepts such as a template classes for core API usage and provides an annotation based programming model using AspectJ
test-recommender
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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.