Library to make MongoDB aggregation framework and pipelines easy to use in python.

Complete MongoDB tutorial & cheat sheet — 27 parts covering CRUD, Aggregation, Atlas Search, Indexing, Transactions, Sharding & Replication with Node.js

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

GPU-accelerated MongoDB client for macOS

Full-featured JavaScript Backend API inspired by YouTube + Twitter. A production-ready Node.js + Express backend with JWT auth, Cloudinary uploads, playlists, videos, tweets, comments, likes, subscriptions, & creator analytics built using MongoDB Aggregation Pipelines & clean MVC architecture.

Create optimal Mongo aggregation pipelines, with joins/lookups, for Apollo queries.

🎵 Plateforme full-stack d'analytics musicales avec recommandations personnalisées. MongoDB + NestJS + Next.js. Intégration Spotify, aggregation pipelines avancées, visualisations interactives.

Repo for Compass for Developers session at MDBW19

Springboot, Mongodb and Aggregation examples

Complex-Backend-Project with production level code

MongoDB data modelling and analytics pipeline for the Inside Airbnb dataset, covering host performance, pricing, ratings, and amenity analysis across multiple cities.

I built this repo to learn MongoDB aggregation pipelines. My previous role ran reporting against a replica database, and I needed to get comfortable with the syntax before using it in production. I'd worked primarily with SQL up to that point.

There are 20 questions for practicing the Mongodb Agreement pipeline. I hope you get full confidence in the Mongodb query. Let's fork and use it.

HomeQuest is a full-stack real estate marketplace built with React, Express, MongoDB, and Firebase. It includes advanced property search, role-based routing, Google authentication, aggregation-based filtering, commenting, and a complete listing management workflow.

Config files for my GitHub profile.

HRMS Lite

Helper funcs and tools for working with MongoDB

Ejercicios de MongoDB del curso de ITR

End-to-end VC market intelligence pipeline: Crunchbase JSON → MongoDB Atlas (aggregation) → BigQuery (SQL analytics) → investment recommendations. 18,801 companies, 4,412 acquisitions analyzed