Python Poetry VS FastAPI

Python Poetry Reviews

FastAPI Reviews

Python Poetry mentions (144)

• Understanding Dependencies in Programming

  You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come... - Source: dev.to / 25 days ago

• Implementing semantic image search with Amazon Titan and Supabase Vector

  Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:. - Source: dev.to / 27 days ago

• How to Enhance Content with Semantify

  The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:. - Source: dev.to / 2 months ago

• Fun with Avatars: Crafting the core engine | Part. 1

  We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment. - Source: dev.to / 3 months ago

• Introducing Flama for Robust Machine Learning APIs

  We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable... - Source: dev.to / 5 months ago

FastAPI mentions (233)

• Building an Email Assistant Application with Burr

  In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it. - Source: dev.to / 6 days ago

• Ask HN: What is your go-to stack for the web?

  For pure APIs: pyapi-server [0]. For classic Web sites: Starlette [1], with SQLAlchemy Core [2] for database integration. Or, if you prefer something with more batteries included, FastAPI [3]. [0] https://pyapi-server.readthedocs.io [1] https://www.starlette.io/ [2] https://docs.sqlalchemy.org/en/20/ [3] https://fastapi.tiangolo.com/. - Source: Hacker News / 3 months ago

• Fun with Avatars: Crafting the core engine | Part. 1

  We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:. - Source: dev.to / 3 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago

• Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc

  FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and... - Source: dev.to / 4 months ago