🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.
- redis-desktop-manager
- redis-cluster
- redis-gui
- redis-client
47,133 repositories indexed
1–24 of 25 · Most stars
🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.
A pure node.js JavaScript Client implementing the MySQL protocol.
A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.
PostgreSQL client for node.js.
Postgres.js - The Fastest full featured PostgreSQL client
An SQL-friendly ORM for Node.js
Cross-platform and self hosted, easy to use, intuitive mongodb management tool - Formerly Mongoclient
JS Search is an efficient, client-side search library for JavaScript and JSON objects
A lightweight clientside JSON document store,
Variety: a MongoDB schema analyzer
Open source PostgreSQL GUI client for macOS, Linux and Windows
Rails Database Viewer and SQL Query Runner
A persistent, network resilient, full text search library for the browser and Node.js
📺 Create your own team dashboard with custom widgets. Built with Next.js, React, styled-components and polished.
db.js is a wrapper for IndexedDB to make it easier to work against
The Ultimate Boilerplate for Products.
Node.js client for the Aerospike database
An Amazon AWS SimpleDB library for Node.js that is user-friendly and fault-tolerant
🎈 A 16kb Preact & Redux based Progressive Web App that offers an offline gallery experience of external images.
Simplified Firebase interaction for continuous integration
JSON Store with MQTT Interface :books::open_file_folder::satellite:
Use PostgreSQL reactively in Meteor.
Repo to accompany the series "Build A Pet Management System With Remix, Prisma, and Postgres" https://www.youtube.com/watch?v=wqyHGQlZcws&list=PLTnRtjQN5ieYu9SdwLvzKYFVtfqySY7FT
mongodb-aggregate-adventure will run through a series of MongoDB aggregation workshops. Starting at a basic aggregation tasks and moving on to more advanced exercises about dealing with aggregation using MongoDB.