fastapi VS swagger-ui

Official FastAPI Docs

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. We use it to build the web API for the image search.

The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:

until i realized Anki has their own API Interface, which made me realize that i can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am i going to change the stack later?.. lets see)

By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun.

The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by OpenAI, LinkUp, LlamaIndex, Qdrant, FastAPI and Streamlit. The building of this project was aimed at providing a reproducible and adaptable agent, that people can therefore customize based on their needs, and it was composed of three phases:

FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs.

FastAPI Documentation: https://fastapi.tiangolo.com/

FastAPI to build a tool server

Swagger (OpenAPI) is a powerful tool for documenting and testing APIs. It provides interactive documentation that makes it easier for front-end developers and API consumers to understand and use your endpoints. (Check out Swagger)

For teams that follow an OpenAPI-first approach, Swagger UI provides a straightforward way to visualize and interact with APIs. It's not a complete replacement for Postman's testing capabilities, but it excels at creating a bridge between documentation and testing.

OpenAPI (Swagger): A comprehensive approach to API design that includes built-in schema validation capabilities.

Not documenting your API (use tools like Swagger)

Check Swagger

✔ Swagger API doc: It enables swagger and generates your super fast static API documentation.

Comprehensive documentation is vital for the success of an API. Providing clear, developer-friendly documentation helps users understand how to use the API effectively. Tools like Swagger and Postman offer powerful documentation capabilities. Swagger allows developers to create interactive API documentation, while Postman provides detailed guides and examples. For instance, a survey by Postman revealed that 95% of developers consider documentation a critical factor when using an API. Thorough documentation enhances the developer experience and accelerates API adoption.

Imagine standing at the crossroads of innovation where three API titans—OpenAPI, Swagger, and Postman—are not just tools, but partners in your journey toward building robust, user-friendly APIs. In 2025, as the API landscape evolves faster than ever, choosing the right tool isn’t just about convenience—it’s about empowering your development process and giving your projects a competitive edge.

For the last few months, my team and I have been working on developing LiveAPI, a super convenient tool for creating API Docs with the help of AI. Existing documentation tools, for example, Swagger, take time and effort from developers to set up and maintain. We saw an opportunity here and developed an easy doc generation tool that works within a few clicks.

Download link: SwaggerUI latest releases Download the Swagger UI release that best fits your requirements.