PyFilesystem2
s3fs-fuse
| PyFilesystem2 | s3fs-fuse | |
|---|---|---|
| 7 | 57 | |
| 1,949 | 8,079 | |
| 0.3% | 0.9% | |
| 0.0 | 8.8 | |
| 16 days ago | 16 days ago | |
| Python | C++ | |
| MIT License | GNU General Public License v3.0 only |
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PyFilesystem2
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A File Organizer in Python
Or this: https://www.pyfilesystem.org/
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What're the cleanest, most beautifully written projects in Github that are worth studying the code?
Pyfilesytem2 is pretty swell. Also a big fan of nox.
- Why I'm working on Open Source full time
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Introducing Tube Archivist, your self hosted Youtube media server
A better way would be to use this package: https://www.pyfilesystem.org/
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I'm the author of Rich and Textual, two highly starred Python projects on Github. AMA
Working on PyFilesystem (https://github.com/PyFilesystem/pyfilesystem2) I've written a lot of the kind of loops that the walrus operator would help with.
- Filesystem Abstraction for Python
- Fsspec: Filesystem Interfaces for Python
s3fs-fuse
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Is Posix Outdated?
The author needs to ask themselves: in this cloud technology stack, is there POSIX involved somewhere lower down, where I can't access it? The answer is, of course, "yes". The sort of cloud storage systems described all run on top of POSIX APIs. They provide convenience (cost efficiency is more debatable) compared to the POSIX alternative, but that's because they exist at an entirely different conceptual layer (hence the presence of POSIX anyway, just buried).
Your point about surfacing a POSIX that's actually there but hidden and thus visible to low-level Amazon employees building the S3 service which makes it invisible to S3 end customers is true but isn't the the point of the article. The author is saying there are motivations for a POSIX-like api visible also the end user.
So your explanation of stack looks like 2 layers: POSIX api <-- AWS S3 built on top of that
Author's essay is actually talking about 3 layers: POSIX <-- AWS S3 <-- POSIX
That's why the blog post has the following links to POSIX-on-top-of-S3-objects :
https://github.com/s3fs-fuse/s3fs-fuse
https://github.com/kahing/goofys
https://www.cuno.io/
- Gcsfuse: A user-space file system for interacting with Google Cloud Storage
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R2 slow PUT file transfer
sudo apt install build-essential libfuse-dev fuse git clone https://github.com/s3fs-fuse/s3fs-fuse.git cd s3fs-fuse sudo apt install libfuse2 sudo apt install libcurl4-openssl-dev sudo apt install libxml2-dev ./autogen.sh ./configure make
- Cloud Backed SQLite
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Podman and S3 Storage Driver (Audiobookshelf)
Don’t know actually. Here is project page.
- Uploading hundreds to thousands of files to S3
- Linux Client for R2
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s3fs-fuse - allows to mount your s3/minio bucket link to your local directory
s3fs-fuse
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AWS Announces Open Source Mountpoint for Amazon S3
How is this different than these other solutions?
https://github.com/kahing/goofys
https://github.com/s3fs-fuse/s3fs-fuse
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Introducing Mountpoint for Amazon S3 - A file client that translates local file system API calls to S3 object API calls like GET and LIST.
I don’t get it. Why not just improve https://github.com/s3fs-fuse/s3fs-fuse
What are some alternatives?
watchdog - Python library and shell utilities to monitor filesystem events.
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
python-magic - A python wrapper for libmagic
rclone - "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
vignette - A Python library for generating thumbnails following the FreeDesktop specification - mirror of https://gitlab.com/hydrargyrum/vignette
mountpoint-s3 - A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.
pathlib
jellyfin-webos - WebOS Client for Jellyfin
path.py - Object-oriented file system path manipulation
jellyfin-tizen - Jellyfin Samsung TV Client
Unipath - An object-oriented approach to Python file/directory operations.
mediacms - MediaCMS is a modern, fully featured open source video and media CMS, written in Python/Django and React, featuring a REST API.