feather

name	feather
version	1.0.0
description	Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type system, Feather vs Parquet benchmarks, pandas DataFrame caching, LZ4/ZSTD compression options, and pipeline best practices.
author	BytesAgain
homepage	https://bytesagain.com
source	https://github.com/bytesagain/ai-skills
tags	["feather","arrow","ipc","columnar","pandas","dataframe","data"]
category	data

Feather

Apache Feather/Arrow IPC format reference — fast columnar DataFrame I/O.

Commands

Command	Description
intro	Feather overview, V1 vs V2, key properties
python	pyarrow.feather read/write, benchmarks
r-lang	R arrow package, Python↔R interop
schema	Arrow types, nested types, metadata
vs-parquet	Speed vs compression tradeoffs
pandas	pd.read_feather, caching patterns
compression	LZ4/ZSTD options, when to use each
best-practices	Pipeline patterns, file size guidelines