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Extract, transform and load tabular data efficiently, using CSV files and/or database connections (including bulk load and merge to databases).

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Project description

Tabulk

Extract, transform and load tabular data efficiently, using CSV files and/or database connections (including bulk load and merge to databases).

WORK IN PROGRESS (TODO)

Installation

Requires Python >= 3.9.

Published on PyPI.

Install without any dependency:

pip install tabulk

It is also possible to install with an extra specifier to add optional dependencies, depending on the database engine(s) you plan to use. Example for PostgreSQL:

pip install tabulk[postgresql]

Avalable extra specifiers:

  • tabulk[postgresql] (synonym: tabulk[pg]) for PostgreSQL: installs psycopg with sql parsing and timezone utilities
  • tabulk[mysql] (synonyms: tabulk[maria], tabulk[mariadb]) for MySQL or MariaDB: installs mysqlclient with sql parsing and timezone utilities
  • tabulk[sqlserver] (synonym: tabulk[mssql]) for Microsoft SQL Server: installs pyodbc with sql parsing and timezone utilities
  • tabulk[tz]: installs timezone utilities (on Windows only: they are never needed with Python 3.9 on Linux)

Usage

Examples: TODO.

See full documentation, including API reference: TODO.

Contributing

Pull requests are welcome.

See contributing guidelines.

Legal

This project is licensed under the terms of the MIT license.

Logo designed by Freepik (free with required attribution).

Project details


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