DataButler
A python-based software for automatic data profiling and cataloging
It takes a lot of man-hours and energy to transform data dumps into forms that are more understandable and suitable for databases. The objective of DataButler is to model a framework that performs data profiling and cataloging, thereby providing more efficient search/discover functionalities.
Process Flow
Installation
$ pip install --index-url https://test.pypi.org/simple/ db_st
Directions
import data_butler
data_butler.db('file directory/filename.csv')
Authors
Keerthi Pullela, Rahul Madhu, Rukmini Sunil, Sagar Kurada, Xema Pathak
Acknowledgments
Professor Matthew Lanham,
Krannert School of Management,
Purdue University
Mike Lutz, Caleb Keller,
Samtec Inc.
1 maintainer
Metadata
1 maintainer
Release files for data-butler 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| data_butler-0.0.9.tar.gz | 9.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| data_butler-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.0 kB
Release files / data_butler-0.0.9.tar.gz
| Download URL | data_butler-0.0.9.tar.gz |
|---|---|
| Size | 9.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / data_butler-0.0.9-py3-none-any.whl
| Download URL | data_butler-0.0.9-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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