wesm/feather
Some data may be outdated — see provenance labels.
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow observed · 2026-10-03
Health v2 · maintenance only
49/100
- Activity 48
- Release rhythm 21
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3920
- days_rel: 317
- days_push: 317
- n_releases_24m: 1
Adoption not part of the score
2757 stars · 165 forks observed · 2026-10-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Feather is a fast binary columnar file format for storing data frames, designed for efficient read/write and cross-language sharing between Python, R, and Julia. Development has moved into Apache Arrow; this package is now a thin wrapper around pyarrow.feather.
Use cases
- read and write pandas data frames to disk quickly
- share data frames between Python and R
- fast serialization of tabular data
- store data frames in a columnar binary format
- exchange data between data analysis languages
When to choose
- you need fast, language-agnostic data frame persistence
- you already use the pandas/R data ecosystem
- you want Arrow-backed columnar storage without heavier formats like Parquet
When to avoid
- you need a general-purpose serialization format for non-tabular data
- you want actively developed features - use Apache Arrow directly
- you need compression-heavy long-term archival storage
Facets
library · maturity maintenance
serialization file-system data-science files python cross-platform data-frames columnar-storage apache-arrow r interoperability data-engineering
1 source
- readme: https://github.com/wesm/feather · fetched 2026-10-03 · dd964df0cef9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wesm/feather | main | 49 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem