Borderlands-Sensitivity-Changer
fastapi
Borderlands-Sensitivity-Changer | fastapi | |
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1 | 479 | |
13 | 73,064 | |
- | - | |
4.2 | 9.8 | |
about 1 year ago | about 20 hours ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Borderlands-Sensitivity-Changer
fastapi
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Understanding FastAPI: How FastAPI works
Now it's time to take a closer look on how FastAPI extends Starllete.
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Understanding FastAPI: The Basics
I've been working with FastAPI for a while now, and I decided to start digging a little deeper on it's internals.
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How to Deploy your FastAPI Backend with PostgreSQL Database to Render
FastAPI is a popular Python backend web development framework. Many Python developers use FastAPI to built Application Programming Interfaces (APIs) and connect other backend infrastructure such as databases. FastAPI is suitable for API design for several reasons:
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Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Create a simple interface (CLI or GUI) where users can input an image, and the script processes and displays the model's prediction. For a CLI, use argparse to handle input arguments. For a GUI, consider libraries like Tkinter or web-based interfaces using FastAPI or Flask. The script should perform necessary preprocessing, invoke the model prediction, and present the results clearly, such as displaying the predicted class, drawing bounding boxes for detection tasks, or overlaying segmentation masks on the original image.
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Super-charging Django: Tips & Tricks
Consider integrating Django with FastAPI for asynchronous endpoints if your application needs high-performance, non-blocking I/O operations.
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Documenting my pin collection with Segment Anything: Part 3
FastAPI: A web framework for building APIs (and web pages). It is used as the backbone of the application to handle web requests, routing, and server logic, and orchestrates the overall API structure. Although not used here, FastAPI provides robust features such as data validation, serialisation, and asynchronous request handling.
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Setting up Fast API in IIS and run APIs in Python
This article will show you how to setup an API written in Python using an amazing framework called FastAPI. This article is an introduction on how to use the framework, I blog later on more advanced use cases.
- Python FastAPI: Integrating OAuth2 Security with the Application's Own Authentication Process
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Setup REST-API service of AI by using Local LLMs with Ollama
FASTAPI
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
What are some alternatives?
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Flask - The Python micro framework for building web applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
Django - The Web framework for perfectionists with deadlines.
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
BentoML - The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
django-rest-framework - Web APIs for Django. 🎸
quart - An async Python micro framework for building web applications.
chalice - Python Serverless Microframework for AWS