Introducing FARM - FastAPI, React & MongoDB

This is the FARM Stack course, where you are going to learn how to build an application from scratch using FASTAPI, React and mongoDB

Full Stack FastAPI, React, and MongoDB, published by Packt

A FARM stack boilerplate with docker integration. This is a starting template for projects using a Python FastAPI server, MongoDB storage and React frontend, with docker setup for development and production.

A minimal FARM stack boilerplate / template project to get you started with a Python FastAPI backend, React frontend, MongoDB, and JWT user authentication (via FastAPIUsers).

A blueprint for getting a React.js web app with Python (FastAPI) API and a MongoDB API in Cosmos database onto Azure. It includes sample application code (a ToDo web app) which can be removed and replaced with your own application code. Add your own source code and leverage the Infrastructure as Code assets (Bicep) to get up and running quickly.

A blueprint for getting a React.js web app with Python (FastAPI) API and a MongoDB API in Cosmos database onto Azure. The frontend, currently a ToDo application, is designed as a placeholder that can easily be removed and replaced with your own frontend code.

Boilerplate RAG and LLM in financial analysis. MongoDB, MongoDB VectorDB, Chroma, FastAPI, Langchain, and React submodule for UI.

A blueprint for getting a React.js web app with Python (FastAPI) API and a MongoDB API in Cosmos database onto Azure. The frontend, currently a ToDo application, is designed as a placeholder that can easily be removed and replaced with your own frontend code. This architecture is for hosting static web apps with serverless logic and functionality.

Full Stack FastAPI, React, and MongoDB 2nd Edition published by Packt

A blueprint for getting a React.js web app with Python (FastAPI) API and a MongoDB API in Cosmos database onto Azure. It includes sample application code (a ToDo web app) which can be removed and replaced with your own application code. Add your own source code and leverage the Infrastructure as Code assets (Terraform) to get up and running quickly

About Full stack, modern multi-tenancy web template. Using FastAPI, React, MongoDB, Beanie ODM, Docker, Helm and more.

A full stack todo application built with fastAPI and mongoDB on the backend and React on the frontend.

FastAPI + MongoDB with Beanie + React Login Example

Tutor AI is a Multi Agent AI Tutoring System (FastAPI + React) that generates study content, question sets, and feedback—powered by Gemini and MongoDB Atlas Vector Search.

Ecommerce project - using React, FastAPI & MongoDB

Template for starting a project with FARM stack. Dockerized ready for deployment.

Production-ready Claude Code configuration for backend/full-stack developers. 9 rules, 8 commands, 5 agents, 13 skills, hooks, and MCP servers for Java/Spring Boot, Python/FastAPI, JS/React, PostgreSQL, MongoDB, Redis, Kafka, Docker, K8s, and AI/ML.

Full-stack FastAPI + React template with MongoDB, JWT auth, and responsive frontend.

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Ful Stack FastAPI , React and MongoDB

GPS route tracking system using React Native, EMQX (MQTT broker), MongoDB, and FastAPI.

Full Stack Developer || Odoo, Python, ReactJs, NextJs, React Native, JavaScript, TypeScript, Tailwindcss, Redux, MongoDB, RestAPI, Node, FastAPI, Flask, Django.

Simple boilerplate with fastapi, fastapi-users, google auth, mongodb and react frontend

A full stack job hunting application built using React.js, FastAPI, MongoDB, React-Router, Mongo Atlas

Full stack web application generator. Using FastAPI, React, MongoDB and Docker.

FaRM Stack (FastAPI, React & MongoDB)

Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, React, Docker, automatic HTTPS and more.

An open-source blueprint for a 3-tier AI assistant: React frontend, Node.js/MongoDB backend, and a Python/FastAPI inference server.

An AI-driven web app for mock interviews, generating tailored questions and analyzing video responses with Google Vertex AI. Features speech-to-text, performance scoring, and detailed feedback. Built with React, FastAPI, and MongoDB Atlas—perfect for job seekers and interview prep.