Data Beaver - Data Modelling Tool
Project description
Data Beaver - Data Model Orchestration
Data Beaver is a tool that allows teams to easily realize, test, version, and share their data models.
Overview
The aim of data beaver is to create a deterministic process for realizing a given data model.
Major Releases
Version | Goal |
---|---|
0.1.0 | Build a Model against Postgres |
How To
Install Data Beaver
To install Data Beaver you can run the command below.
pip install databeaver
Execute a model
Data Beaver can be used as either a command line application or as a module for a more direct integration.
Module Usage
from databeaver import DataModel
model = DataModel()
model.build()
Command Line Usage
This is a simple example package. You can use Github-flavored Markdown to write your content.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
databeaver-0.0.0.tar.gz
(17.4 kB
view hashes)
Built Distribution
databeaver-0.0.0-py3-none-any.whl
(18.8 kB
view hashes)
Close
Hashes for databeaver-0.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56dc1ecc48b332b08388a073c00086669d74b290b3f95b18872f9c3d522afb05 |
|
MD5 | c6e7ac63cd754f9d77ca930b017de3c4 |
|
BLAKE2b-256 | 34dc6679784919819202d698f63c10bf96c4a149b941eb1197502d59549873ca |