Data work automation tools provider WrangleWorks announced Sept. 22 that it has open-sourced its Wrangles Python package — used to dramatically reduce the Python knowledge and code required to clean and semantically enrich data.
Wrangles was built to provide clean, enriched data required by modern analytical and eCommerce operations. According to Austin, Texas-based WrangleWorks, Wrangles replaces manual data cleaning methods that the company says can’t keep pace with such large, dynamic systems.
Now, Wrangles can be used freely by citizen wranglers to automate all facets of data work, including applying application-specific semantics.
“Wrangles provides configurable transformations and recipes for data enrichment and automation,” Chris Ince, WrangleWorks CTO said in a news release. “Wrangles are defined and run using an intuitive, low-code configuration syntax that requires only the most basic knowledge of Python. With Wrangles, virtually anyone can automate data preparation and integration.”
The Wrangles Python package is available on github and pypi.org.
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