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FastAPI VS SQLAlchemy

Compare FastAPI VS SQLAlchemy and see what are their differences

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  2. » Videos
  3. » Reviews
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FastAPI logo 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.

SQLAlchemy logo SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
  • FastAPI Landing page
    Landing page //
    2023-05-14
  • SQLAlchemy Landing page
    Landing page //
    2023-08-01

FastAPI features and specs

  • 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 of FastAPI

  • 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.

SQLAlchemy features and specs

  • Flexibility
    SQLAlchemy offers a high degree of flexibility for developers, allowing them to use raw SQL, an ORM, or a combination of both, which makes it adaptable to different use cases and preferences.
  • Database Agnosticism
    It supports a wide range of database backends (e.g., PostgreSQL, MySQL, SQLite) without needing to alter application code, facilitating easier transitions between databases.
  • Powerful ORM
    Its ORM component provides powerful object-relational mapping capabilities, making complex query construction and database interaction easier by using Pythonic objects.
  • Robust Query Construction
    SQLAlchemy offers advanced query construction capabilities, enabling developers to build complex and dynamic queries efficiently.
  • Comprehensive Documentation
    The library comes with extensive and well-maintained documentation, which helps in easing the learning curve and troubleshooting issues.

Possible disadvantages of SQLAlchemy

  • Learning Curve
    Due to its extensive features and flexibility, SQLAlchemy can have a steep learning curve for beginners, especially those new to databases or ORMs.
  • Complexity
    For simple CRUD applications, using SQLAlchemy might be overkill and adds unnecessary complexity compared to simpler ORM solutions like Django ORM.
  • Performance Overhead
    While powerful, the ORM layer may introduce some performance overhead compared to writing raw SQL, which can be a consideration for performance-critical applications.
  • Verbose Syntax
    The syntax, especially when using the ORM, can become verbose, which might be cumbersome for developers preferring succinct code.
  • Debugging Challenges
    Debugging complex object-relational mapping logic can be challenging, and pinpointing issues may require a deep understanding of both the database and SQLAlchemy's intricacies.

FastAPI videos

+ Add

FastAPI from the ground up

More videos:

  • Tutorial - 30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL
  • Review - [PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

SQLAlchemy videos

+ Add

SQLAlchemy ORM for Beginners

More videos:

  • Review - SQLAlchemy: Connecting to a database
  • Review - Mike Bayer: Introduction to SQLAlchemy - PyCon 2014

Category Popularity

0-100% (relative to FastAPI and SQLAlchemy)

FastAPI

SQLAlchemy

Developer Tools
100 100%
Developer Tools
0% 0
Databases
0 0%
Databases
100% 100
Web Frameworks
87 87%
Web Frameworks
13% 13
Development
0 0%
Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FastAPI and SQLAlchemy

FastAPI Reviews

The 20 Best Laravel Alternatives for Web Development
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.
Source: tms-outsource.com
25 Python Frameworks to Master
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 frameworks like Django.
Source: kinsta.com
3 Web Frameworks to Use With Python
myapp/ is the main directory of your FastAPI application. It includes all the other files and directories needed for the application.static/ is a directory used to store static assets such as CSS, JavaScript, and image files. These assets are served directly by the web server and are typically used to add visual styling and interactivity to the application.css/, img/, js/...
Source: www.stratascratch.com
Best Alternatives to FastAPI App Free for Windows (2021)
FastAPI Alternative – So many alternatives app to FastAPI that you must to know out there. And, looking for an ideal software was not easy matter. Lucky you, at this page you can find the best replacement app for FastAPI. So what you are waiting for, get the latest FastAPI alternative app for Windows 10 from this page.
Source: alternativetoapp.com
Top 5 Back-End Frameworks to Consider for Web Development in 2021
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is fast when compared to other major Python frameworks like Flask and Django. FastAPI gives great flexibility to fulfill businesses’ API needs in today’s evolving world.
Source: www.fissionlabs.com

SQLAlchemy Reviews

We have no reviews of SQLAlchemy yet.
Be the first one to post

Social recommendations and mentions

Based on our record, FastAPI seems to be a lot more popular than SQLAlchemy. While we know about 288 links to FastAPI, we've tracked only 2 mentions of SQLAlchemy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

FastAPI mentions (288)

  • How to Set Up CI/CD for a Python Backend Application on Fly.io Using GitHub Actions
    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:. - Source: dev.to / 10 days ago
  • 🚀 Building Recallr: How I Turned PDFs into Anki Flashcards with AI
    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). - Source: dev.to / 7 days ago
  • Building Weather & History Story Cards with Python and FastAPI
    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. - Source: dev.to / 22 days ago
  • Build Code-RAGent, an agent for your codebase
    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... - Source: dev.to / 23 days ago
  • Understanding the Relation Between FastAPI and Uvicorn
    FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 24 days ago
View more

SQLAlchemy mentions (2)

  • Speak Your Queries: How Langchain Lets You Chat with Your Database
    Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 2 years ago
  • My favorite Python packages!
    SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing FastAPI and SQLAlchemy, you can also consider the following products

Django - The Web framework for perfectionists with deadlines

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Hibernate - Hibernate an open source Java persistence framework project.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

Entity Framework - See Comparison of Entity Framework vs NHibernate.

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