filesystem_spec
s3fs
| filesystem_spec | s3fs | |
|---|---|---|
| 1 | 7 | |
| 900 | 814 | |
| 16.8% | 1.4% | |
| 9.1 | 7.8 | |
| 3 days ago | 22 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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filesystem_spec
s3fs
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
- Gcsfuse: A user-space file system for interacting with Google Cloud Storage
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what's the best python client for AWS automation these days?
- https://github.com/fsspec/s3fs (used by `pandas`, wraps aiobotocore)
- High-level, file-system like interface for S3 with AsyncIO support to replace/extend `boto3`
- Show HN: Query SQLite files stored in S3
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Getting 403 return code from head_object even with s3:ListBucket permission
I'm using Python's s3fs library to check if a particular file exists in s3 with s3fs.S3FileSystem().exists(path), but I'm getting a Forbidden exception. From the stack trace, I can see it fails when calling s3's head_object method. The documentation for head_object method says:
What are some alternatives?
verneuil - Verneuil is a VFS extension for SQLite that asynchronously replicates databases to S3-compatible blob stores.
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
s3sqlite - Query SQLite files in S3 using s3fs
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
mbtiles-s3-server - Python server to on-the-fly extract and serve vector tiles from an mbtiles file on S3
s3www - Serve static files from any S3 compatible object storage services (Let's Encrypt ready)
aws-sdk-go-v2 - AWS SDK for the Go programming language.
django-s3file - A lightweight file upload input for Django and Amazon S3
s3-proxy - S3 Reverse Proxy with GET, PUT and DELETE methods and authentication (OpenID Connect and Basic Auth)
aiobotocore - asyncio support for botocore library using aiohttp
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.