🚀🚀🚀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
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🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.
Shared data types for building collaborative software
Simple and fast JSON database
A simple Node.js ORM for PostgreSQL, MySQL and SQLite3 built on top of Knex.js
An adapter-based ORM for Node.js with support for mysql, mongo, postgres, mssql (SQL Server), and more
Zero config PWA plugin for Next.js, with workbox 🧰
:ocean: Blazing fast 1kb search library
🐉 A macOS, Linux, Windows app to test push notifications on iOS and Android
Variety: a MongoDB schema analyzer
📺 Create your own team dashboard with custom widgets. Built with Next.js, React, styled-components and polished.
An advanced Node.js driver for RethinkDB with a connection pool, support for streams etc.
Distributed scalable database
Branch your PostgreSQL Database like Git
Meteor.publishComposite provides a flexible way to publish a set of related documents from various collections using a reactive join
WebUI for query engines: Hive and Presto
Open-source AI study companion — Google Classroom sync, Gemini AI plans, SRS flashcards, GPA predictor, AI quiz, MCP server for Claude Code. Try demo at shiori-v1.vercel.app
Lightweight, self hosted platform for building webhooks, scheduled tasks and pages. Implement your logic with Bash, Lua or mRuby
Build and manage data with a spreadsheet-like interface
Simple Todo tutorial using Pocketbase+React in Realtime. 🪄
Capture, inspect, and replay webhooks with 90-day history + signature verification. Built on Cloudflare Workers + D1.
oAuth using React+Pocketbase Demo 🎉
Extract hashes from the MongoDB database server to a hash format that hashcat accepts: -m 24100 (SCRAM-SHA-1) or -m 24200 (SCRAM-SHA-256)
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.
Market definition database with semantic search