fsspec/s3fs
S3 Filesystem observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 97
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3823
- days_rel: n/a
- days_push: 20
- n_releases_24m: 0
Adoption not part of the score
1047 stars · 301 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity active
file-system object-storage http-client cloud-computing developer-tools files python cross-platform s3 fsspec aiobotocore async aws pyfilesystem data-engineering
2 sources
- readme: https://github.com/fsspec/s3fs · fetched 2026-08-28 · e04079b25436
- registry_pypi: https://pypi.org/pypi/s3fs/json · fetched 2026-08-29 · 8781b723c496
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| fsspec/s3fs | main | 76 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem