Loading...
File Systems & Storage
Cloud-Backed File System
★ 3.8
Simple Distributed File System
★ 4.2
pip install s3qlN/A — Go binary, see seaweedfs.compip install s3qlN/A — Go binary, see seaweedfs.comPython data engineers use S3QL to mount cloud object storage as an encrypted local file system — writing pipeline output files to a mounted S3QL volume using standard Python file I/O (`open()`, `write()`) without any cloud SDK code. S3QL's encryption-at-rest is useful for storing sensitive pipeline outputs in cloud storage with a stronger encryption posture than default S3 SSE.
Python data engineers use SeaweedFS's S3-compatible API with boto3 to store and retrieve pipeline artifacts, model binaries, and intermediate data files. Its optimized handling of billions of small files makes it a good fit for storing ML training sample files or pipeline checkpoint files that would create excessive metadata overhead in traditional distributed file systems.
Individual Tool Pages