How to open .FEATHER files on Android
To open .FEATHER files on Android, there is no common native Android app support cited for .feather; transfer the file to a desktop environment and open it with Python (pandas/pyarrow) or R (arrow).
Step-by-step instructions
- There is no common native Android app support cited for .feather; transfer the file to a desktop environment and open it with Python (pandas/pyarrow) or R (arrow).
Common issues
pandas cannot read the file because Arrow/pyarrow is missing
pandas.read_feather depends on an Arrow backend; if the required dependency is not available, reading will fail.
- Install and enable an Apache Arrow/pyarrow-capable environment for your Python setup.
- Re-run pandas.read_feather after confirming the Arrow dependency is available.
File opens but data types or columns are not as expected
Feather stores Arrow columnar data; differences in schema/type handling between writers/readers (or between older and newer toolchains) can lead to unexpected dtypes or missing metadata expectations.
- Confirm the file was written as a Feather/Arrow IPC file (Feather V2) using the same family of Arrow-based tools.
- Try reading the file using pyarrow.feather directly (Python) to inspect the table schema before converting to a pandas DataFrame.
The file is not actually a Feather/Arrow IPC file
Some files may be misnamed with a .feather extension; Arrow-based readers will error if the file is not in the expected IPC/Feather format.
- Ask the data provider how the file was produced and with which library/version.
- Request a re-export using an Arrow Feather/IPC writer (for example, via pyarrow.feather or the Arrow R package).
Security note
.feather is a binary data format; it is not intended to contain scripts or macros like some document formats, but parsing untrusted binary files can still trigger vulnerabilities in the reader library if present—prefer up-to-date Arrow/pyarrow/arrow packages when handling untrusted files.