{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Feather-format provides a Python interface to store and load pandas DataFrames using the Apache Arrow-based Feather file format for efficient disk serialization.","skillfed_tags":["legacy","unmaintained"],"use_cases":["Serialize pandas DataFrames to a columnar format for faster I/O when working with large datasets that fit the supported schema.","Archive DataFrames with string column names and homogeneous data types in a format designed for efficient columnar access.","Migrate legacy code that was written when Feather support was not yet built into pandas itself."],"what_it_does":"Feather-format is a wrapper around Apache Arrow that lets you save pandas DataFrames to disk in the Feather columnar format, which is designed for fast serialization and deserialization. It was created when Feather support was not yet built into pandas itself.\n\nThe package has significant limitations: it does not support non-string column names, row indexes, or object-type columns with mixed data types. More importantly, the package is unmaintained\u2014its last release was in April 2020, and its classifiers declare support only for Python 2.7 and 3.4\u20133.5. Modern pandas and pyarrow have evolved substantially since then, and installation often requires conda-forge rather than pip because of pyarrow's compiled dependencies.","worth_installing":"No. The package is unmaintained (last release April 2020) and has high installation friction due to pyarrow's compiled dependencies. Modern pandas includes native Feather support via DataFrame.to_feather() and read_feather(), which is actively maintained and works with current Python versions. Use pandas' built-in Feather methods instead unless you have a specific reason to use this legacy wrapper."},"id":"feather-format","links":{"html":"https://skillfed.io/packages/feather-format","md":"https://skillfed.io/packages/feather-format.md","pypi":"https://pypi.org/project/feather-format/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2020-04-27","license_spdx":null,"license_treatment":"permissive","name":"feather-format","python_support":"unspecified","summary":"Simple wrapper library to the Apache Arrow-based Feather File Format"},"popularity":{"monthly_downloads":120741,"position":12011,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.1"}