|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Starbase||257||2 months ago||11||October 20, 2022||10||mpl-2.0||TypeScript|
|Graph-based security analysis for everyone|
|Aaia||252||9 months ago||1||gpl-3.0||Python|
|AWS Identity and Access Management Visualizer and Anomaly Finder|
|Opentelemetry Ext Js||143||12||3 months ago||30||December 27, 2021||18||apache-2.0||TypeScript|
|js extensions for the open-telemetry project|
|Nuvola||123||3 months ago||gpl-3.0||Go|
|Ec2neo||54||6 years ago||10||Ruby|
|CloudFormation Templates for deploying Neo4j|
|Database Journal||43||a year ago||mit||Python|
|Databases: Concepts, commands, codes, interview questions and more...|
|Sqerzo||23||2 years ago||5||January 29, 2021||apache-2.0||Python|
|Tiny ORM for graph databases: Neo4j, RedisGraph, AWS Neptune or Gremlin|
|Neo4j Aws Causal Cluster||21||2 years ago||apache-2.0||Shell|
|Neo4j Enterprise Causal Cluster on AWS ECS by GetSocial|
|Sdk||20||9 days ago||99||mpl-2.0||TypeScript|
|Home of the JupiterOne SDK|
|Social Record - Distributed scraping and analysis pipeline for a range of social media platforms|
We live in a connected world! There are no isolated pieces of information, but rich, connected domains all around us.
Welcome to the Real world of System-Of-Engagements
Many of the most important questions we want to ask of our data today from our Data Platform (System-of-engagement) require us to understand how things are connected – in what ways, and with what strength, weight or quality. Such as:
This needs a Data Platform which can manage and make sense of - large volumes of variably-structured, - densely-connected data. - what depends on what; how things flow; analysing the impact of events on deep dependency chains; identifying and assessing risk; (All connected data problems) 😃 .
These are the kinds of problems for which GrphDB like Amazon Neptune is ideally suited.
P.S.: I am still a big proponent of POLYGLOT DB/ FEDERATED DATA LAKE.
Welcome to world of GraphDB!!
|Relational Model||Graph Model|
|Please click on the above image to expand||Please click on the above image to expand|
Independent of the total size of your dataset, graph databases excel at managing highly-connected data and complex queries.
Graph DB is used for very many types of Use Cases (not just for Social Graph or Recommendation engine), such as
Graph DB Offers over other RDMBS as well as NOSQL DBs
Please relish Video to understand the aforementioned high level concepts in a better way.
Please note:* - This page serve just as the *Index page*. - Please click on hyperlinks of the respective items to delve deep into it. - Please keep checking your **compass (this index page)** for to seamlessly steer your way to the next mile of this wonderful journey.
Following folders carry Jupyter notebook (interactive python notebook/ .ipynb) || Python Codeset as well as pseudocode || refernce blogs et al.
Feel free to contact me to discuss any issues, questions, or comments.
My contact info can be found on my GitHub page.
I, The DeepHiveMind, am providing code and resources in this repository to you under custom Copyright & license (Copyright 2019 DeepHiveMind & Creative Commons Legal Code CC0 1.0 Universal). Please Refer to the [Copyright 2019 DeepHiveMind License] for further details as to this. Thanks!