Load (almost) any structured file parse its data with pydantic

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License: MIT License (MIT)

Author: Samuel Colvin

Requires: Python >=3.7

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Project description

anyfile

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Work in progress, not ready for general use.

Load (almost) any structured file, then parse its data with pydantic

Will supports:

  • JSON
  • CSV
  • YAML
  • TOML
  • JSON lines
  • config / ini
  • msgpack
  • Excel
  • pickle
  • zip
  • tar gz

Perhaps one day:

  • HTML
  • HDF5
  • parquet
  • SQL

Data can be loaded from the local filesystem, URLs or memory (bytes, string, io).

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for samuelcolvin from gravatar.com samuelcolvin

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Samuel Colvin

Requires: Python >=3.7

Classifiers

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This version

0.0.1

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