aria2 VS fastapi

For sites with limited download speeds I usually use aria2 (via terminal) since it supports segmented/multi connection downloading. But I guess this wouldn't work with 1fichier, since with these sites you usually don't get direct link to the file and/or sites like these limit the number of parallel connections. I also used it for torrents for a while, but I wouldn't recommend doing this anymore.

Concurrent downloadsAble to preserve the original treeClient/Server modeCLITUIGUIWeb UIBrowser pluginwgetNYNY??Y?wget2YYNY????aria2YNYYY?Y?rcloneYYNY??Y?IDMYNNNNYNNJDownloader2YNYNNYNN

Aria2c currently looks unmaintained https://github.com/aria2/aria2/pulse

Aria2 Repo

Try a download utility like aria2c it's on GitHub. It's a command line utility but it makes using direct downloads less painful by caching downloads and starting where you leave it off. https://github.com/aria2/aria2 Download it from the releases page

You'll need two pieces of software: yt-dlp and aria2. These are tools that help you download videos from the internet. Once downloaded, place them both in the same folder on your computer.

if you must use DDLs, and I've never had to, use aria2 and use the following

https://github.com/aria2/aria2/releases/tag/release-1.36.0 and run "aria2c.exe -x 16 -s 16 https://pixeldrain.com/api/file/8ppyvrWb?download" in cmd or wait for mirrors

You could try a tool like https://aria2.github.io

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

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:

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.

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 ReDoc, and how to streamline the process of documenting your APIs.