MongoDB object modeling designed to work in an asynchronous environment.

⛪ A simple, straightforward Mongo ODM

This repository contains the implementation of a social network API built with MongoDB, Express.js, and Mongoose ODM. This API allows users to share their thoughts, react to friends' thoughts, and create a friend list, providing a backend foundation for a social network web application.

MongoDB адаптер для модуля @e22m4u/js-repository

Модуль для работы с базами данных для Node.js

A NodeODM API compatible autoscalable load balancer and task tracker for easy horizontal scaling ♆

Camo-inspired ODM for NeDB, built specifically for BigfootDS' needs.

This system provides functionalities for managing cars, customers, and rentals, ensuring operations for renting cars and tracking their availability

Getting Started with ODM - Mongoose

A RESTful API built with NodeJS and MongoDB exposes endpoints to retrieve F1 drivers information

A bare minimum Javascript implementation of the Active Record pattern

Nifty task tracker created with MongoDB Atlas, Mongoose, Express, Node, React using Hooks, Reducer & Context, React Router v6, framer-motion animations, and my elegant design 💙💛

Cassandra ORM/ODM/OGM for NodeJS with support for Apache Cassandra, ScyllaDB, Datastax Enterprise, Elassandra & JanusGraph.

Projeto baseado em um marketplace feito com ReactJS, NodeJS, MongoDB and Typescript

A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.

Simple Mongoose-inspired ODM for Couchbase.

API for a social network web application where users can share their thoughts, react to friends’ thoughts, and create a friend list.. Module 18 NoSQL Challenge: Social Network API

DeriveODM is a reactive ODM - Object Document Mapper - framework, a "wrapper" around MongoDB, that removes all the hassle of data-persistence by handling it transparently in the background, in a DRY manner.

Org development model via Copado

Mongoose Object Data Modeling (ODM) REST API for a dynamic social media startup. Utilizing NoSQL databases, this solution effectively handles extensive unstructured data. Built with Express.js, MongoDB, and Mongoose ODM, it guarantees scalability and efficient data management.