# fsspec/s3fs

S3 Filesystem

Repository: https://github.com/fsspec/s3fs
Canonical: https://ross.abutalabs.com/products/s3fs
Homepage: http://s3fs.readthedocs.io/en/latest/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: hacktoberfest
Last push: 2026-08-13T19:48:54+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 3823, "days_push": 20, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1047, forks 301 (observed 2026-08-28T04:03:22.161508+00:00)

## What it is
s3fs is a Python library providing a filesystem-like interface over Amazon S3 (and S3-compatible object stores), built on aiobotocore. It integrates with fsspec so tools like pandas and dask can read and write S3 paths transparently.

## Use cases
- read and write files on S3 from Python as if they were local paths
- use S3 with pandas or dask via fsspec
- list, copy, and delete objects in an S3 bucket programmatically
- access S3-compatible storage like MinIO from Python
- stream files to and from S3 in async code

## When to choose
- you want a familiar file/directory API over S3 in Python
- you need fsspec integration for data science or distributed compute tools
- you want async S3 access built on aiobotocore

## When to avoid
- you need the full AWS SDK surface beyond filesystem operations
- you are not working in Python
- you need high-performance bulk transfer with multipart tuning beyond what s3fs exposes

## Facets
- artifact type: library
- maturity: active
- function: file-system, object-storage, http-client
- domain: cloud-computing, developer-tools, files
- platform: python, cross-platform
- tags: s3, fsspec, aiobotocore, async, aws, pyfilesystem, data-engineering

## Member repositories
- fsspec/s3fs (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.161508+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:01:06.770691+00:00, confidence not recorded.
  - readme: https://github.com/fsspec/s3fs (fetched 2026-08-28T04:03:22.161508+00:00, sha e04079b25436)
  - registry_pypi: https://pypi.org/pypi/s3fs/json (fetched 2026-08-29T13:03:15.720217+00:00, sha 8781b723c496)
- Data as of 2026-08-30T08:39:29.467469+00:00.