Metadata-Version: 2.1
Name: dataprep
Version: 0.1.0a1
Summary: Dataprep is a library to help data scientist accomplish all the tasks using one library before building the predictive model.
Home-page: https://github.com/sfu-db/dataprep
License: MIT
Keywords: dataprep,eda,data connector
Author: Weiyuan Wu
Author-email: youngw@sfu.com
Requires-Python: >=3.6,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: bokeh (>=1.4,<1.5)
Requires-Dist: dask[complete] (>=2.9,<2.10)
Requires-Dist: holoviews (>=1.12,<1.13)
Requires-Dist: jinja2 (>=2.10,<2.11)
Requires-Dist: jsonpath2 (>=0.4,<0.5)
Requires-Dist: jsonschema (>=3.1,<3.2)
Requires-Dist: lxml (>=4.4,<4.5)
Requires-Dist: numpy (>=1.17,<1.18)
Requires-Dist: pandas (>=0.25,<0.26)
Requires-Dist: probscale (>=0.2,<0.3)
Requires-Dist: requests (>=2.22,<2.23)
Requires-Dist: scipy (>=1.3,<1.4)
Project-URL: Repository, https://github.com/sfu-db/dataprep
Description-Content-Type: text/markdown

# DataPrep ![Build Status]

DataPrep is a library to greatly save data scientists' time.

[Documentation]

# Contribution guidelines
If you want to contribute to DataPrep, be sure to review the [contribution guidelines](CONTRIBUTING.md).



[Build Status]: https://img.shields.io/circleci/build/github/sfu-db/dataprep/master?style=flat-square&token=f68e38757f5c98771f46d1c7e700f285a0b9784d
[Documentation]: https://sfu-db.github.io/dataprep/

