Metadata-Version: 2.1
Name: d6tstack
Version: 0.1.8
Summary: d6tstack: Quickly ingest CSV and XLS files. Export to pandas, SQL, parquet
Home-page: https://github.com/d6t/d6tstack
Author: DataBolt Team
Author-email: support@databolt.tech
License: MIT
Keywords: d6tstack,ingest csv
Platform: UNKNOWN
Requires-Python: >=3.5
Provides-Extra: xls
Provides-Extra: psql
Provides-Extra: mysql
Provides-Extra: parquet
Requires-Dist: numpy
Requires-Dist: pandas (>=0.22.0)
Requires-Dist: sqlalchemy
Requires-Dist: scipy
Requires-Dist: d6tcollect
Provides-Extra: mysql
Requires-Dist: mysql-connector; extra == 'mysql'
Provides-Extra: parquet
Requires-Dist: pyarrow; extra == 'parquet'
Provides-Extra: psql
Requires-Dist: psycopg2-binary; extra == 'psql'
Provides-Extra: xls
Requires-Dist: openpyxl; extra == 'xls'
Requires-Dist: xlrd; extra == 'xls'

Quickly ingest raw files. Works for XLS, CSV, TXT which can be exported to CSV, Parquet, SQL and Pandas. d6tstack solves many performance and schema problems typically encountered when ingesting raw files.


