Build a Better Understanding of Your Data in PostgreSQL and Python

Data Fluent for PostgreSQL

Build a better understanding of your data in PostgreSQL.

The following shows an example report generated by this tool. It gives the numbers of rows, columns, bytes as well as human-friendly size counts for each table within a given PostgreSQL database.

The following shows the row count for every column that represents a date grouped by year and month.

Installation and Usage

Please read this guide for installation instructions and example usage.

Further Help

The database URL is passed through to sqlalchemy. Please see their documentation on Database URLs for more information on their syntax and the drivers supported.

If you need to override any parameters in this application, please refer to the help documentation generated by typer:

$ datafluent --help

Usage: datafluent [OPTIONS]

Options:
  --url TEXT                      [default: postgresql://localhost:5432/intel]
  --output TEXT                   [default: fluency.xlsx]
  --install-completion [bash|zsh|fish|powershell|pwsh]
                                  Install completion for the specified shell.
  --show-completion [bash|zsh|fish|powershell|pwsh]
                                  Show completion for the specified shell, to
                                  copy it or customize the installation.

  --help                          Show this message and exit.

Download Details:

Author: marklit
The Demo/Documentation: View The Demo/Documentation
Download Link: Download The Source Code
Official Website: https://github.com/marklit/datafluent_pg
License: MIT

#postgresql #database #python