A startup from Colombia.
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.
Automatic Interactive API Documentation
FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
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.
Ease of Use
Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
Asynchronous Support
FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
Extensive Documentation
It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
Community and Ecosystem
FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.
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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.
FastAPI is widely regarded as a good choice, especially for applications that require high performance, scalability, and modern Python features. It is suitable for both simple and complex projects, making it a versatile tool in the web development ecosystem.
We have collected here some useful links to help you find out if FastAPI is good.
Check the traffic stats of FastAPI on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of FastAPI on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of FastAPI's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of FastAPI on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about FastAPI on Reddit. This can help you find out how popualr the product is and what people think about it.
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 is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / about 1 month ago
Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / about 1 month ago
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 Pythonโs 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
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
Explore the Documentation: FastAPIโs official documentation is extensive and provides detailed insights and examples. - Source: dev.to / 2 months ago
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
Letโs build a Todo API using FastAPI โ but with a twist: weโll 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
Modern Python backend framework for building real, portfolio-ready projects fast. Https://fastapi.tiangolo.com. - Source: dev.to / 6 months ago
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 Iโd love to hear your feedback,... - Source: dev.to / 6 months ago
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 is 40โ60% 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
Iโve been experimenting with metaprogramming in Python and decided to build a tiny prototype called Nest-Py. Itโs a small framework inspired by NestJS but built on top of FastAPI. - Source: dev.to / 8 months ago
This approach demonstrates how to deploy a custom agent using FastAPI and Docker, following AgentCore Runtime requirements. - Source: dev.to / 8 months ago
The most sophisticated approach uses type hints and models to automatically generate documentation. FastAPI is the poster child hereโ-โit introspects your Pydantic models and function signatures to build comprehensive OpenAPI specs with minimal manual input. - Source: dev.to / 9 months ago
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
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
Make your crawler a web service that crawls pages by user request, using FastAPI and following this guide. - Source: dev.to / 10 months ago
Resources mentioned: FastAPI Documentation, Pydantic AI GitHub, WhatsApp Business API, OpenAI API Documentation. - Source: dev.to / 11 months ago
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
> 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
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 downloadsโa testament to its widespread adoption.
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.
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.
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.
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.
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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