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Which is more popular?
Based on our record, FastAPI
should be more popular than Cookiecutter.
It has been mentioned 316 times since March 2021.
social mentions
316 vs 42
Developer Tools popularity
95% vs 5%
alternatives listed
240+ vs 30
Base details
Website, pricing, platforms and company facts side by side.
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.
Possible disadvantages
Learning Curve for Asynchronous Programming Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
Complex Dependencies Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
Early Stage Libraries Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
Limited Real-World Examples Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
Deployment Complexity Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.
Time Saving Cookiecutter automates the setup of new projects by providing pre-defined templates, which reduces the time developers need to spend on configuring projects manually.
Consistency Using standardized templates helps maintain consistency across multiple projects, ensuring that projects follow similar structures and coding conventions.
Flexibility Cookiecutter templates can be customized to suit specific project needs, allowing developers to adapt templates while still benefiting from a predefined structure.
Community Support There is a wide range of community-contributed templates available, covering various languages and frameworks, which developers can use or build upon.
Easy to Use Cookiecutter is user-friendly and requires minimal setup, making it accessible for developers of all skill levels.
Possible disadvantages
Learning Curve While basic usage is straightforward, understanding how to create and maintain advanced custom templates can be challenging for beginners.
Template Maintenance Once a project is created from a template, keeping the project updated if there are changes in the template can be difficult and require manual adjustments.
Overhead For very simple or one-off projects, using Cookiecutter might introduce unnecessary overhead in terms of setup and configuration.
Complexity with Customization Highly customized templates can become complex, leading to potential difficulties in debugging and reproducing configurations across different environments.
Dependency on Templates Projects heavily reliant on custom or third-party templates can face issues if those templates are no longer maintained or updated to reflect best practices.
Analysis
An editorial look at what each product does well and who it suits.
FastAPICookiecutter
Overall verdict
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.
Why this product is good
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It is built on top of Starlette for web framework capabilities and Pydantic for data validation and settings management. FastAPI is known for its excellent performance, automatic generation of interactive API documentation (with Swagger and Redoc), and support for asynchronous programming. Developers appreciate its ease of use, detailed documentation, and helpful error messages.
Recommended for
Developers building RESTful APIs
Teams looking for a high-performance ASGI-based web framework
Projects that require asynchronous programming capabilities
Applications needing automatic generation of interactive API documentation
Python developers who prefer utilizing type hints for code clarity and validation
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...
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack...
Under the hood it's Flutter on the client and FastAPI with PostgreSQL on the server. WebSockets for realtime, WebRTC for calls, object storage for media, and small services for speech and translation. Android, iOS, Windows and Linux. The...
- Source: dev.to
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8 days ago
Clean Architecture in Python with FastAPI, FastStream, and Dishka
Using FastAPI, FastStream, and dishka lets us follow Clean Architecture principles and almost avoid leaky abstractions. The prototype also used Pydantic and SQLAlchemy. I do not focus on them because these technologies are already...
- Source: dev.to
/
16 days ago
QueuePool Limit Reached - When FastAPI Runs Out of Database Connections
If your FastAPI app talks to a database through SQLAlchemy, chances are high you will meet it sooner or later. Not on your machine, of course. It shows up in production, after a few quiet hours, under load. And the reflex is always the...
- Source: dev.to
/
23 days ago
The gauge broke: devs felt 20% faster with AI, measured 19% slower
I mean they could have turned in one of the countless HTML "boilerplate" projects before LLMs too. It hasn't been necessary to start completely from scratch for quite a while now. I'm surprised any professional web developer wouldn't...
- Source: Hacker News
/
4 months ago
suppa - one command to dive into the Android SDK
See the cookiecutter repo to familiarize yourself with this CLI.
- Source: dev.to
/
11 months ago
AWS SAM is the native tools that help manage and handle serverless components and resources with predefined template powered by Cloudformation and cookiecutter that allow you to quickstart project with templates base on different...
- Source: dev.to
/
almost 2 years ago
FileFold Creator helps you create, organize and manage files and folders online for your projects with a simple tree view, secure workspace and fast browser-based tools
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