When a product needs to move fast — both in development and in production — we reach for React and FastAPI. React gives you a component-driven frontend that's fast to iterate on; FastAPI gives you a Python backend with automatic validation, async support, and documentation that writes itself. It's our default choice for data-heavy products, ML-integrated platforms, and APIs that need to scale without becoming a maintenance burden.
Description
High-performance web applications with a React frontend and Python FastAPI backend. Ideal for data-heavy products, ML-integrated platforms, and APIs that need to move fast.
Weight
0
Tagline
High-performance web apps built on a React frontend and Python backend.
Tech stack
React
FastAPI
Python
TypeScript
PostgreSQL
Docker
Use cases
Data-heavy dashboards and internal tools
Products integrating ML or data science workflows
APIs that need automatic documentation for external consumers
Teams that want Python on the backend and React on the front
Service Category
Features
Feature Description
FastAPI generates OpenAPI docs and request validation automatically from Python type hints — fewer bugs, less boilerplate.
Feature Title
Type-Safe APIs
Feature Description
Built on async/await throughout, so the backend handles concurrent requests without blocking.
Feature Title
Async by Default
Feature Description
React's component model keeps the frontend modular and testable as the product grows.
Feature Title
Component-Driven UI
Feature Description
Python's ecosystem makes it the natural choice when a product needs to talk to data pipelines or ML models.
Feature Title
ML & Data Integration
Feature Description
Hot reloading on both ends means the loop from idea to working feature stays short.
Feature Title
Fast Iteration
Feature Description
Dockerized from day one, so what you test locally is what runs in production.
Feature Title
Production-Ready Deployment
Accent
Violet