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FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

FastAPI

FastAPI Reviews and Details

This page is designed to help you find out whether FastAPI is good and if it is the right choice for you.

Screenshots and images

  • FastAPI Landing page
    Landing page //
    2023-05-14

Features & Specs

  1. High Performance

    Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.

  2. Automatic Interactive API Documentation

    FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.

  3. Type Checking and Validation

    With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.

  4. Ease of Use

    Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.

  5. Asynchronous Support

    FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.

  6. Extensive Documentation

    It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.

  7. Community and Ecosystem

    FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

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Videos

FastAPI from the ground up

30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL

[PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

Reviews

  1. Kurslog team avatar
    Kurslog team
    ยท Working at Kurslog ยท
     

    When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

    The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

    ๐Ÿ Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot
    ๐Ÿ‘ Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic
    ๐Ÿ‘Ž Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about FastAPI and what they use it for.
  • 5-Minute AI Jobs and Closed Tabs โ€” Why We Built Replay-Then-Tail SSE
    We had a feature in production where a single user request could run for five-plus minutes โ€” fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 17 days ago
  • FastAPI With LangChain and MongoDB
    FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / about 1 month ago
  • I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums
    Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / about 1 month ago
  • Async PyMongo in FastAPI
    FastAPI is a high-performance web framework that is production-ready and designed for building APIs in python, with roots embedded in asynchronous programming. It embraces Pythonโ€™s asyncio model as its core principle rather than treating it as optional. This design choice gives FastAPI leverage for I/O bound workloads such as db access, external API calls and real-time data streaming. - Source: dev.to / about 1 month ago
  • I Scraped 47M+ Hacker News Items Into Parquet Files โ€“ Here's What I Discovered About HN's Hidden Data Patterns
    For developers building HN-related tools, consider using FastAPI to create APIs that serve this data efficiently to web applications. - Source: dev.to / 2 months ago
  • The Ultimate FastAPI Tutorial: Build Modern APIs with Ease
    Explore the Documentation: FastAPIโ€™s official documentation is extensive and provides detailed insights and examples. - Source: dev.to / 2 months ago
  • How to Build Your First AI Agent Deploy it to Sevalla
    The next step is to serve our agent. FastAPI helps us expose our agent through an HTTP endpoint. That way, users and systems can call it through a URL, send messages, and get replies. - Source: dev.to / 4 months ago
  • ๐Ÿš€ Build a Todo App API with FastAPI + uv (The Cleanest Way!)
    Letโ€™s build a Todo API using FastAPI โ€” but with a twist: weโ€™ll use uv, the next-gen Python package manager that automates virtual environments, handles dependency resolution, and gets out of your way. - Source: dev.to / 10 months ago
  • 2026: The average developer's year disappears and the most will struggle
    Modern Python backend framework for building real, portfolio-ready projects fast. Https://fastapi.tiangolo.com. - Source: dev.to / 6 months ago
  • Building a Production-Multi-Cloud DevOps Platform: A Complete Journey from Zero to Hero
    Documentation Files Setup Guide Deployment Guide Access Guide Cost Optimization Monitoring Setup Technologies Used FastAPI Documentation Terraform AWS Provider Terraform Azure Provider Helm Documentation Kubernetes Documentation Prometheus Documentation Grafana Documentation Tools & Security Trivy Scanner Checkov IaC Scanner GitHub Actions Connect With Me Iโ€™d love to hear your feedback,... - Source: dev.to / 6 months ago
  • Choosing Tech Stack in 2025: A Practical Guide
    Python's renaissance in web development comes from FastAPI - my personal favorite nowadays - which brings modern async capabilities and automatic API documentation through Pydantic models. The framework feels designed for 2025, with type hints throughout and excellent developer experience. If your application needs to integrate with machine learning models, data processing pipelines, or scientific computing... - Source: dev.to / 7 months ago
  • Node.js vs Python: Real Benchmarks, Performance Insights, and Scalability Analysis
    Node.js is 40โ€“60% faster in handling concurrent connections than Python due to its non-blocking I/O. Python, on the other hand, can outperform Node in CPU-bound computation only when optimized with C extensions or async frameworks like asyncio or FastAPI (FastAPI Docs). - Source: dev.to / 8 months ago
  • Nest-Py: Experimenting with Decorators, DI, and Controllers in Python (FastAPI + NestJS style)
    Iโ€™ve been experimenting with metaprogramming in Python and decided to build a tiny prototype called Nest-Py. Itโ€™s a small framework inspired by NestJS but built on top of FastAPI. - Source: dev.to / 8 months ago
  • Amazon Bedrock AgentCore Runtime - Part 4 Using Custom Agent with Strands Agents SDK
    This approach demonstrates how to deploy a custom agent using FastAPI and Docker, following AgentCore Runtime requirements. - Source: dev.to / 8 months ago
  • Always Up-to-Date API Docs Are Real (And No, Itโ€™s Not AI)
    The most sophisticated approach uses type hints and models to automatically generate documentation. FastAPI is the poster child hereโ€Š-โ€Šit introspects your Pydantic models and function signatures to build comprehensive OpenAPI specs with minimal manual input. - Source: dev.to / 9 months ago
  • AI Stack for Solo Developers: Build an Entire Startup with These Tools
    Tools: ChatGPT (free), Claude, Django, FastAPI, Node.js ChatGPT is great for planning and scaffolding. Claude shines when working with multiple files or complex refactoring. Together, they can spin up routes, models, authentication, and even database setup in record time. - Source: dev.to / 9 months ago
  • Roast your LinkedIn Bio with FastAPI: A Fun Intro Guide to Building APIs that make you smile
    Ready to dive deeper? You can read the FastAPI documentation here โ€” it's some of the best technical documentation you'll ever read. - Source: dev.to / 10 months ago
  • How to scrape YouTube using Python [2025 guide]
    Make your crawler a web service that crawls pages by user request, using FastAPI and following this guide. - Source: dev.to / 10 months ago
  • Building MIA: A WhatsApp AI Assistant to Escape Subscription Hell
    Resources mentioned: FastAPI Documentation, Pydantic AI GitHub, WhatsApp Business API, OpenAI API Documentation. - Source: dev.to / 11 months ago
  • Python's FastAPI and How It Compares to Express
    FastAPI is a high-performance framework enhancing Python development with type-hinting and asynchronous processing. FastAPI provides a high-performing, reliable solution developers seeking concurrency. An additional useful resource is the FastAPI documentation: https://fastapi.tiangolo.com/. - Source: dev.to / 11 months ago
  • Type safe web stack with Rust and TypeScript
    > Ideally I'd like to be able to write types in typescript, and write python types, then verify that the types are compatible (not identical) Have a look at https://fastapi.tiangolo.com/ FastAPI allows you to define your types in Python using Pydantic for stronger type guarantees. FastAPI also generates an OpenAPI.json file for your backend and then you can feed this OpenAPI.json document into - Source: Hacker News / 11 months ago

Summary of the public mentions of FastAPI

Overview of Public Opinion on FastAPI

FastAPI, a high-performance web framework for building APIs with Python, has carved a distinct niche in the landscape of Python web frameworks since its release in 2018. Positioned among well-established competitors like Django, Flask, and ExpressJS, FastAPI is consistently lauded for its speed, efficiency, and modern features. This framework's growing popularity is evident as it surpasses even full-stack giants like Django in PyPi monthly downloads, boasting over 9 million downloadsโ€”a testament to its widespread adoption.

High Performance and Developer-Friendly Experience

Performance is a hallmark feature of FastAPI, frequently highlighted in discussions about leading web frameworks. Built upon Starlette and leveraging asynchronous capabilities, FastAPI is recognized for its exceptional speed, which is particularly noted when compared to other Python frameworks such as Django and Flask. This speed advantage makes it an attractive choice for developers focusing on building APIs that require high responsiveness and efficiency.

Extensive Documentation and Developer Support

FastAPI's rich documentation is another facet that consistently garners positive feedback. Many developers praise its comprehensive nature, noting its in-depth explanations and practical examples. The documentation is considered comparable to that of Django, which is often held as a gold standard in the industry. This developer-centric approach alleviates the learning curve and empowers developers of all levels to effectively utilize the framework.

Versatility and Integration with Modern Technologies

Developers appreciate FastAPI's versatility and its seamless integration with modern development practices and other technologies. The framework's support for automated API documentation generation through OpenAPI, integration with CI/CD pipelines, and compatibility with cloud deployment options like AWS and serverless architectures such as AWS Lambda and API Gateway are frequently cited advantages. FastAPI's compatibility with cutting-edge technologies, such as AI and machine learning libraries, also enhances its appeal for projects requiring advanced capabilities.

Comparisons with Alternatives

While FastAPI is celebrated for its strengths, it is situated in a highly competitive marketplace. Compared to Django, which offers a full-stack development experience with an extensive ecosystem of reusable packages, FastAPI is more minimalistic, focused specifically on API development. Flask shares this minimalistic ethos but lacks some of the built-in performance and asynchronous support that distinguishes FastAPI. Similarly, while Quart offers similar asynchronous capability, FastAPI's performance and user-friendly features often tip the balance in its favor.

Conclusion

Overall, public sentiment towards FastAPI is overwhelmingly positive, with particular emphasis on its high-performance credentials, excellent documentation, and alignment with modern web development needs. Its rapid increase in adoption is indicative of its efficacy and the satisfaction it brings to developers looking for a powerful yet straightforward API framework. As developers continue to seek efficient solutions in API development, FastAPI's balance of speed, ease of use, and comprehensive features secures its place as a leading choice in the realm of Python frameworks.

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Is FastAPI good? This is an informative page that will help you find out. Moreover, you can review and discuss FastAPI here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.