Analytics APIs
Serving aggregated figures to dashboards and reports.

Typed, fast Python APIs: the natural home for data processing and AI features.
FastAPI is a modern Python web framework. Each request and response is described with Python types, so it is validated automatically and the API documents itself.
We use it where the work is in Python already: analytics, data pipelines and features built on language models, served to websites and apps through a clean API.
Typed models check every request before your code runs.
Interactive API documentation is generated automatically.
Async request handling for busy services.
Python's data and AI libraries sit right next to the API.
FastAPI is commonly used for:
Use cases
Serving aggregated figures to dashboards and reports.
Summaries, extraction and assistants exposed as a safe API.
Imports, clean-up and scheduled jobs behind a simple API.
Let's put your data and AI work behind a clean, fast API.
Technologies that integrate seamlessly with FastAPI
backend
High-level programming language emphasising code readability, used for web development, data science, and automation.
database
Advanced open-source relational database with ACID compliance, JSON support, and powerful query capabilities.
database
In-memory data store used for caching, sessions, rate limiting and background job queues.
devops
Containerisation platform for packaging applications with dependencies into portable, consistent environments.
frontend
Component-based JavaScript library for building modern, dynamic user interfaces with declarative patterns.
mobile
Apple's declarative framework for native iPhone, iPad and Mac apps, written in Swift.
Explore how FastAPI fits into your technology stack or compare it with alternatives
Not sure which approach is right for you? Explore all our technologies to learn more.