Lightweight JSON Database for Python

Simple & intuitive way to manage collections of data.

⚡ HaruDB – A lightweight, in-memory database 🧠 for fast data storage

DirectoryDB: A lightweight Python-based database system for efficient database operations in Python projects. Built from scratch, it leverages file system CSV and strictly adheres to Python conventions, ensuring readability and maintainability for developers.

A lightweight, JSON file-based ODM Database for Node.js, inspired by Mongoose

⚡ Boost your .NET and Unity applications with fast, lightweight SQLite bindings that enhance performance while minimizing memory use.

JsonDB is a minimal, Python-powered JSON database for easy data management. Ideal for small projects and prototyping, it supports simple CRUD operations, nested data structures, and basic searches. Streamline your data tasks with JsonDB's intuitive file-based system.

📦 Integrate TanStack DB with PGLite and Drizzle ORM for efficient browser-based database management and seamless data handling.

Your Tiny, Type-Safe, JSON-Powered Sidekick for Go!

PotatoDB is a lightweight, JSON-based database solution designed for simplicity and ease of use. It allows you to create, insert, query, update, and delete records in a NoSQL fashion, using Python's built-in JSON module to store data persistently on disk.

PHP Local DB is a lightweight PHP library that provides a simple local database mechanism by storing data in encrypted files. It allows applications to persist structured data securely without relying on an external database server. The library supports common database-like operations, including insert, update, delete and select.

🚀 Simplify SQL database management with hypersql-mzx, a lightweight and efficient solution for seamless data handling and querying.

🔍 Streamline SQL queries with hypersql-zgg, a lightweight library for easy management and optimization of SQL database interactions.

🗃️ Create efficient SQLite databases with sqlite-rp7, enhancing data management and performance in your applications effortlessly.