Open Source Windows Graph Databases - Page 2
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Graph Databases for Windows
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AdminJS
AdminJS is an admin panel for apps written in node.js
Our system leverages AI to effortlessly generate text. Simplify your product database management with just one click. The out-of-the-box version of AdminJS is pretty powerful, but its in-depth customizability is where it really shines. With a basic knowledge of React and Node.js, you can change nearly every behavior of your admin panel. With AdminJS you can Create, Read, Update, and Delete all of your resources, no matter where they come from. Thanks to the tight integration with your ORM/ODM, AdminJS picks up all the validation rules, data types, and relationships. AdminJS has a simple interface for connecting multiple data sources like SQL/noSQL databases and multiple APIs. We already created adapters for the most popular services. With AdminJS, you can easily find any record inside your dataset. Everything thanks to the advanced filters panel which is able to narrow your search according to multiple criteria. -
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Backup Tables
Backup single or multiple database tables with ease
Backup single or multiple database tables with ease. Use the BackupTables::generateBackup($tableToBackup) Facade anywhere in your application and it will generate $tableToBackup_backup_2024_08_22_17_40_01 table in the database with all the data and structure. Note that the datetime 2024_08_22_17_40_01 will be varied based on your datetime. -
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BadgerDB
Fast key-value DB in Go
BadgerDB is an embeddable, persistent and fast key-value (KV) database written in pure Go. It is the underlying database for Dgraph, a fast, distributed graph database. It's meant to be a performant alternative to non-Go-based key-value stores like RocksDB. Badger is stable and is being used to serve data sets worth hundreds of terabytes. Badger supports concurrent ACID transactions with serializable snapshot isolation (SSI) guarantees. A Jepsen-style bank test runs nightly for 8h, with --race flag and ensures the maintenance of transactional guarantees. Badger has also been tested to work with filesystem-level anomalies, to ensure persistence and consistency. Badger is being used by a number of projects including Dgraph, Jaeger Tracing, UsenetExpress, and many more. BadgerDB is a pretty special package from the point of view that the most important change we can make to it is not on its API but rather on how data is stored on disk. -
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Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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Crase enables instant access to structured information (personal contacts, software modelling, ..., whatever). The functionality is based on the mix of techniques, such as the graph database, metadata and functionality from composition and others.
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**Zastosowanie**: Głównym celem projektu jest optymalizacja wykorzystania pamięci w graficznych bazach danych poprzez analizę podobieństwa cosinusowego wektorów cech obrazów. Umożliwia identyfikację duplikatów (obrazów bardzo do siebie podobnych), co prowadzi do efektywniejszego zarządzania zasobami. **Program** W chwili obecnej program przeszukuje obrazy w katalogu, do którego ścieżka została zapisana w pliku 'Data\settings.txt'. **Użycie**: Program obsługuje się w terminalu. Po piewszym wykonaniu programu, zostaje utworzony katalog Data, w miejscu gdzie zapisany jest program. Aby wybrać ścieżkę do katalogu z obrazami należy w pliku 'settings.txt' zapisać ścieżkę. Następnie można wykonywać program z: -an, -mnb, -c, -i Link do GitHub: https://github.com/Duke-Axer/Duplicate-Finder Wszystkie pytania proszę pisać na b.gabka.nkn@gmail.com
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EdgeDB
A next-generation graph-relational database
The world's favorite graph-relational database is back for an action-packed sequel. Tune in for a series of lightning talks breaking down what's new and what's next for EdgeDB. EdgeDB is an open-source database designed as a spiritual successor to SQL and the relational paradigm. It aims to solve some hard design problems that make existing databases unnecessarily onerous to use. Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links. It's like a relational database with an object-oriented data model, or a graph database with strict schema. We call it a graph-relational database. The core unit of schema in the graph-relational model is the object type, analogous to a table in SQL. Object types contain properties and can be linked to other object types to form a schema graph. -
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. You can find them here. As this project has evolved, many new features have been added. If you are already familiar with graph-notebook but want a quick summary of new features added, a good place to start is the Air-Routes notebooks in the 02-Visualization folder. -
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Graph Portal
Software to build web portals using concepts of Graph Theory
Graph Portal allows to organize many types of data so that you can get the information you want in the easiest way possible. There are many use cases for this software, including: building a web portal, creating mind map, wiki, studying graph theory concepts and algorithms,content management etc. The application has built-in Lucene search, custom query, file attachment to nodes etc. Graph Portal comes with an optional built-in security for authentication and role-based authorization. There are multiple levels of customization (depending on the technical skills of the customer) for branding the implementation to customer needs. The software exposes RESTFul services for integration with third-party user interfaces. This is a web based software and can be accessed from computers, tablets and phones from anywhere. -
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Grinn
graph database and R package for omic data integration
http://kwanjeeraw.github.io/grinn/ -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
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IP database REST API
Open Source REST API for IP database, includes qqwry/ipipdotnet
Open Source REST API for IP database, includes qqwry, ipipdotnet. -
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IndraDB
A graph database written in rust
A graph database written in rust. IndraDB consists of a server and an underlying library. Most users would use the server, which is available via releases as pre-compiled binaries. But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed with the assumption that it may be representing a graph large enough that full graph processing is not possible. IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. What follows are a few examples of each use case. -
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Laravel Migrations Generator
Generate your migrations from an existing database schema
Automatically generate your migrations from an existing database schema. Generate Laravel Migrations from an existing database, including indexes and foreign keys. Laravel Migrations Generator will first generate all the tables, columns and indexes, and afterwards setup all the foreign key constraints. So make sure you include all the tables listed in the foreign keys so that they are present when the foreign keys are created. -
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Laravel Options
Global key-value store in the database
Global key-value store in the database. To get started with options, use Composer to add the package to your project's dependencies. Run PHP artisan migrate to migrate the table. There will now be an options table in your database. -
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Laravel Tenanti
Multi-tenant Database Schema Manager for Laravel
Multi-tenant Database Schema Manager for Laravel. Tenanti allows you to manage multi-tenant data schema and migration manager for your Laravel application. -
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MongoEngine
A Python Object-Document-Mapper for working with MongoDB
MongoEngine is a Python Object-Document Mapper for working with MongoDB. -
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STON
Translator of SBGN PD and AF maps into Neo4j graph database.
STON, Sbgn TO Neo4j, is a Java-based framework that imports and translates metabolic, signalling and gene regulatory pathways presented in SBGN (Systems Biology Graphical Notation, http://www.sbgn.org) Process Description (PD) and Activity Flow (AF) languages to a graph-oriented format compatible with Neo4j (http://neo4j.com/). STON1.2 allows also to link common processes between two different PD maps. This framework uses two sets of libraries: LibSBGN and Neo4j libraries. Requirements: Java 1.8 is necessary. Works with Neo4j Community Edition 2.3.1 -
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SGDB is an embedded graph database written in JAVA. Goal of SGDB is to provide decent performance for breadth traversal processing even for larger graphs.
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Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
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adminMongo
adminMongo is a Web based user interface (GUI) to handle MongoDB
adminMongo is a cross-platform user interface (GUI) to handle all your MongoDB connections/database needs. adminMongo is fully responsive and should work on a range of devices. adminMongo can also be used as a cross-platform Electron application. Due to the size of Electron it will need to be built manually. -
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asami
A flexible graph store, written in Clojure
Asami is now being developed in this repository, as it is no longer being supported at Cisco. The deployment to Clojars has not changed, as it was always to my personal account. -
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cosd_java
A Tool for Searching and Demonstrating Code Structure
CoSD is a tool for searching and demonstrating code structure based on graph database. Since some commercial code is involved in the industrial version of CoSD , we just give out a baseline version of it. We also provide a quick demo for this baseline version. To use CoSD, please read the file readme.txt at first. -
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mongo-express
Web-based MongoDB admin interface, written with Node.js
A web-based MongoDB admin interface written with Node.js, Express, and Bootstrap 5. -
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pg_flo
Stream, transform, and route PostgreSQL data in real-time
The easiest way to move and transform data between PostgreSQL databases.
