neo4j-graph-algorithms - Efficient Graph Algorithms for Neo4j

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Efficient Graph Algorithms for Neo4j





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neo4j-mazerunner - Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark

  •    Java

This docker image adds high-performance graph analytics to a Neo4j graph database. This image deploys a container with Apache Spark and uses GraphX to perform ETL graph analysis on subgraphs exported from Neo4j. The results of the analysis are applied back to the data in the Neo4j database. The Neo4j Mazerunner service in this image is a unmanaged extension that adds a REST API endpoint to Neo4j for submitting graph analysis jobs to Apache Spark GraphX. The results of the analysis are applied back to the nodes in Neo4j as property values, making the results queryable using Cypher.

neo4j-apoc-procedures - Awesome Procedures On Cypher for Neo4j 3

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Neo4j 3.2 has increased security for procedures and functions (aka sandboxing). Procedures that use internal APIs have to be allowed in $NEO4J_HOME/conf/neoj4.conf with, e.g.*,apoc.meta.* for security reasons (or apoc.* for all). If you want to use this via docker, you need to amend -e NEO4J_dbms_security_procedures_unrestricted=apoc.\\\* to your docker run …​ command. The three backslashes are necessary to prevent wildcard expansions.

node-neo4j - [RETIRED] Neo4j graph database driver (REST API client) for Node.js

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This is a client library for accessing Neo4j, a graph database, from Node.js. It uses Neo4j's REST API, and supports Neo4j 1.5 through Neo4j 2.1. Node.js is asynchronous, which means this library is too: most functions take callbacks and return immediately, with the callbacks being invoked when the corresponding HTTP requests and responses finish.

neo4j-graphql - GraphQL bindings for Neo4j, generates and runs Cypher

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neo4j - An active model wrapper for the Neo4j Graph Database for Ruby.

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Neo4j.rb is an Active Model compliant Ruby/JRuby wrapper for the Neo4j graph database. It uses the neo4j-core and active_attr gems.

.Net Neo4j Rest Client


Neo4jRestSharp is a .Net client for the Neo4j Rest Server. Neo4j is an open sourced java based transactional graph database that stores data structured in graphs rather than in tables.

Neo4j - Graph Database

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Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

neo4jd3 - Neo4j graph visualization using D3.js

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Neo4j graph visualization using D3.js. First of all, make sure you have ruby and sass gem installed. Then, clone the repository, install all dependencies, build and serve the project.

neo4django - Drop-in Neo4j/Django integration.

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neo4django is an Object Graph Mapper that let's you use familiar Django model definitions and queries against the Neo4j graph database. The library is tested against Django 1.5.4 and Neo4j versions 1.8.2-1.9.4. Docs are on ReadTheDocs.

Gremlin - Graph Traversal Language

  •    Groovy

Gremlin is a graph traversal language. Gremlin works over those graph databases or frameworks that implement the Blueprints property graph data model. It works beter with graph database like TinkerGraph, Neo4j, OrientDB, DEX, Rexster, and Sail RDF Stores. This language has application in the areas of graph query, analysis, and manipulation.

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Java framework for mobile and web applications based on the graph database Neo4j

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Read the wiki for information about dependencies. Rake tasks are available for downloading, installing and running Neo4j.

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STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.

neo4j-tutorial - A koan-style tutorial in Java for Neo4j

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This set of Koans provides a hands-on tutorial for learning the Neo4j open source graph database. It's part of a more comprehensive tutorial often presented by the authors and other folks. The Koan idea was borrowed from the Ruby Koans which provide a number of broken unit tests, and in fixing those tests increasingly advanced Ruby features are learned. The Koan model provides very rapid feedback and a structured learning path wrapped in a pre-configured environment for effective learning.

fallen-8 - Fallen-8 is an in-memory graph database implemented in C#.

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Fallen-8 is an in-memory graph database implemented in C#. Its focus is to provide raw speed for heavy graph algorithms. It provides semantic adhoc queries on multi-dimensional graphs, Plugins for indexes, algorithms and services.

LightGraphs.jl - An optimized graphs package for Julia

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Until an issue with one of our dependencies is resolved, LightGraphs will not work with any Julia 0.7 or 1.0 version that has been built from source on OSX or other systems with a compiler more modern than GCC7. If you use LightGraphs with Julia 0.7 or 1.0, please download a Julia binary. LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type.

agensgraph - AgensGraph, a transactional graph database based on PostgreSQL

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AgensGraph is a new generation multi-model graph database for the modern complex data environment. AgensGraph is a multi-model database, which supports the relational and graph data model at the same time that enables developers to integrate the legacy relational data model and the flexible graph data model in one database. AgensGraph supports ANSI-SQL and openCypher ( SQL queries and Cypher queries can be integrated into a single query in AgensGraph. AgensGraph is based on the powerful PostgreSQL RDBMS, and is very robust, fully-featured and ready for enterprise use. AgensGraph is optimized for handling complex connected graph data and provides plenty of powerful database features essential to the enterprise database environment including ACID transactions, multi-version concurrency control, stored procedure, triggers, constraints, sophisticated monitoring and a flexible data model (JSON). Moreover, AgensGraph leverages the rich eco-systems of PostgreSQL and can be extended with many outstanding external modules, like PostGIS.

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