sleepydatapeek

A quick way to peek at local datafiles.


Welcome to sleepydatapeek!

One often needs to spit out a configurable preview of a data file. It would also be nice if said tool could detect and read several formats automatically.
sleepydatapeek has entered the chat!

Quickly summarize data files such as:

  • csv
  • parquet
  • json

Table of Contents 📖

  • Get Started
  • Usage
  • Technologies
  • Contribute
  • Acknowledgements
  • License/Stats/Author

Get Started 🚀

pip install sleepydatapeek
pip install --upgrade sleepydatapeek

Usage ⚙

Fetch dependencies:

pip install -r requirements.txt

Set a function in your shell environment to run a script like:

alias datapeek='python -m sleepydatapeek'

Presuming you've named said function datapeek, print the help message:

datapeek --help

Technologies 🧰


Contribute 🤝

If you have thoughts on how to make the tool more pragmatic, submit a PR 😊.

To add support for more data/file types:

  1. append extension name to supported_formats in sleepydatapeek_toolchain.params.py
  2. add detection logic branch to main in sleepydatapeek_toolchain/commands.py
  3. update this readme

Acknowledgements 💙

Cheers to the chaos of modern life for needing personalized agility in schema assessment.


License, Stats, Author 📜

example image tag

PyPI - License

See License for the full license text.

This package was authored by Isaac Yep.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.3.3)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for sleepyboy from gravatar.com sleepyboy

Credits

Author: anthonybench

License

Other/Proprietary License (GNU GPL)

Requires

Python <4.0, >=3.10

Tags

pandas data

Classifiers

Report project as malware

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Release history Release notifications | RSS feed

2.3.3

2 files

2.3.2

2 files

2.3.1

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2.2.0

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2.1.0

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2.0.0

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1.7.3

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1.6.4

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1.6.3

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1.3.1

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1.0.6

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This release

1.0.5 This release

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1.0.1

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1.0.0

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0.3.2

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0.3.1

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0.3.0

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0.2.2

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0.2.1

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0.2.0

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0.1.9

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0.1.8

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0.1.7

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0.1.5

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0.1.4

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0.1.3

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0.1.1

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0.1.0

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