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.FEATHER file extension

To open .FEATHER files on Windows, use Python and run: import pandas as pd; df = pd.read_feather('path\\to\\file.feather') (this relies on an Arrow/pyarrow backend).

Open a .feather file with Python using pandas.read_feather (requires an Arrow/pyarrow backend) or with Apache Arrow in R using read/write Feather support. On most systems there is no default “double-click” app; you typically load it from code.

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Last updated: June 12, 2026

Open on your device

Choose your operating system for a dedicated step-by-step opening guide.

How to open .FEATHER files

Use these platform-specific instructions to open .FEATHER files safely.

Windows

  1. Use Python and run: import pandas as pd; df = pd.read_feather('path\\to\\file.feather') (this relies on an Arrow/pyarrow backend).
  2. Alternatively, use Apache Arrow in R and read the file via Arrow’s Feather/IPC support (for example, in scripts or RStudio).
Full Windows guide

Mac

  1. Use Python and run: import pandas as pd; df = pd.read_feather('path/to/file.feather') (requires Arrow/pyarrow support).
  2. Alternatively, use Apache Arrow in R and load the file using Arrow’s Feather/IPC functionality.
Full Mac guide

Linux

  1. Use Python and run: import pandas as pd; df = pd.read_feather('path/to/file.feather') (requires Arrow/pyarrow support).
  2. Alternatively, use Apache Arrow in R and load the file using Arrow’s Feather/IPC functionality.
Full Linux guide

iOS

  1. There is no common native iOS app support cited for .feather; transfer the file to a desktop environment and open it with Python (pandas/pyarrow) or R (arrow).
Full iOS guide

Android

  1. 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).
Full Android guide

Security notes

  • .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.
  • Treat .feather as potentially sensitive data: it commonly contains full data frame contents (including identifiers), so apply appropriate access controls and avoid sharing it publicly without review.
  • Because Feather is meant for efficient interchange, users often download and load it directly into analysis code; only load .feather from trusted sources and validate the dataset shape/schema before using it in automated pipelines.

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Can't open this file?

These are the most common causes and fixes when .FEATHER files fail to open.

Common reasons

  • pandas cannot read the file because Arrow/pyarrow is missing
  • File opens but data types or columns are not as expected
  • The file is not actually a Feather/Arrow IPC file

Fix steps

  1. Install and enable an Apache Arrow/pyarrow-capable environment for your Python setup.
  2. Re-run pandas.read_feather after confirming the Arrow dependency is available.

OS-specific troubleshooting

What is a .FEATHER file?

A .feather file stores columnar table data in the Apache Arrow IPC file format (often referred to as “Feather V2”), enabling fast reads/writes and interoperability between tools that support Arrow. In practice, it is used to exchange pandas/R data frames and other tabular datasets efficiently.

Background

Feather is used as a lightweight, efficient interchange format for tabular data—especially data frames in analytics workflows. It is designed for fast I/O and good cross-language compatibility through Apache Arrow.

In current Arrow documentation, the “Feather V2” format corresponds to the Arrow IPC file format and uses the .feather extension. This means that many modern workflows treat .feather files as Arrow IPC files on disk.

A common usage pattern is: generate or transform a table in one environment (for example, Python), write it to .feather, then load it in another environment (for example, R) with minimal overhead.

Further reading

Authoritative resources for more details on the .FEATHER format.

Common .FEATHER 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.

  1. Install and enable an Apache Arrow/pyarrow-capable environment for your Python setup.
  2. 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.

  1. Confirm the file was written as a Feather/Arrow IPC file (Feather V2) using the same family of Arrow-based tools.
  2. 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.

  1. Ask the data provider how the file was produced and with which library/version.
  2. Request a re-export using an Arrow Feather/IPC writer (for example, via pyarrow.feather or the Arrow R package).

FAQ

Is .feather the same as Apache Arrow IPC?

In Arrow documentation, the IPC file format is sometimes called “Feather V2” and uses the .feather extension, so many .feather files are Arrow IPC files on disk.

How do I read a .feather file in Python?

Use pandas.read_feather to load it into a DataFrame (with an Arrow/pyarrow backend available), or use pyarrow.feather to read it as an Arrow table.

How do I write a .feather file from R?

Use the Apache Arrow R package’s Feather/IPC writing support (documented as writing a Feather file that is an Arrow IPC file).

Is there an official MIME type for .feather?

The IANA media type registry is the authoritative source for registered MIME types; the provided sources do not indicate a specific registered IANA media type for Feather.

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