Introducing the Full Stack FastAPI App Generator for Python Developers

Taylor Pacelli
January 11, 2024 | Updated: September 5, 2024

We are thrilled to announce the release of the Full Stack FastAPI, React, MongoDB (FARM) base application generator, coinciding with FastAPI's emerging status as a leading modern Python framework. Known for its high performance and ease of use, FastAPI is quickly becoming a top choice for Python developers. This launch is a significant advancement for Python developers eager to build and maintain progressive web applications using the powerful combination of FastAPI and MongoDB.

Bridging the Development Gap

While it's always been easy and quick to start building modern web applications with MongoDB and FastAPI, in the past, developers still had to make many decisions about other parts of the stack, such as authentication, testing, integration, etc., and manually integrate these components in their application.

Our new app generator aims to simplify some of this process further. It enables you to quickly spin up a production-grade, full-stack application, seamlessly integrating FastAPI and MongoDB, thereby significantly enhancing the developer experience.

Simplifying the Development Journey

Now, with the launch of our Full Stack FastAPI App Generator, MongoDB dramatically simplifies the initial stages of project setup for production-grade applications by providing a well-structured app skeleton and reducing the initial learning curve and the time spent setting up the project. For new learners and seasoned developers alike, this means less time figuring out the basics and more time building differentiated experiences for their users.

Key Features Included in the App Generator:

  • Complete Web Application Stack: Generates a foundation for your project development, integrating both front-end and back-end components.

  • Docker Compose Integration: Optimized for local development.

  • Built-in Authentication System: Includes user management schemas, models, CRUD, and APIs, with OAuth2 JWT token support and magic link authentication.


Start now

Accelerate your web application development with MongoDB and FastAPI today.

Visit our GitHub repository for the app generator and start transforming your web development experience.

Please note: This tool is an experimental project and is not yet officially supported by MongoDB.

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Panel: How MongoDB is Helping Drive Innovation for Indian Organisations

At MongoDB.local Delhi a panel of CXOs and IT leaders discussed the strategies and challenges of using software to drive innovation in their organisations. Here are the key lessons they shared. Fostering innovation: tips and challenges Our panel, which included representatives from Appy Pie, Autodit, Formidium, and Tech Mahindra, agreed that the rapid development of data analytics technology and the scarcity of trained talent on the ground were key challenges when it comes to driving innovation. To stay on top, Tech Mahindra has a dedicated talent acquisition engine to keep tabs on those technologies and customer requirements. “We imbibe these learnings, so we’re equipped to deliver solutions on the ground,” explained Shuchi Agrawal, Global Head for Data Analytics, Pre-Sales, and Solutioning at Tech Mahindra (IT services and consulting). “When I think of data and MongoDB, I think MongoDB BIRT (business intelligence reporting tools),” says Shuchi. To accelerate their customers’ journey of transformation, for Tech Mahindra, automation must be based on innovations on the baseline of analytics workloads, i.e., data. “That’s why MongoDB is one of the key elements in most of our solution designs when we’re looking for some of the advanced analytics workloads,” says Shuchi. Choosing technology and evaluating products For Vaibhav Agrawal, Executive Vice President of Formidium, selecting technology to drive innovation comes with key caveats: it must be easy to implement, the talent must exist in the market to do the implementation, zero-trust is essential — as data security is paramount for customers — and it must perform in terms of scalability, efficiency, optimization, and monitoring. “If those things are there, you never have to go to other technology,” says Vaibhav. “And MongoDB Atlas comes in on all those check marks perfectly — that's why we chose it.” Enhancing innovation strategies with database features Vaibhav observed two aspects to any innovation: a) having the idea and creating something, and b) re-innovating it. So, for innovation to perpetuate, ideas must be adapted according to your experience, market changes, and changes in technology — and that means reviewing your products’ performance. “MongoDB Atlas has that amazing 360-degree view of your database activities, and the monitoring of your resources,” says Vaibhav. “Plus, it's very easy to get analytics out of it and change the course of your innovation.” “You always need to keep watch on the performance of a database," he adds. "Then you will be able to keep pace with innovation for years.” To see more announcements and get the latest product updates, visit our What's New page.

January 10, 2024
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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

November 21, 2024