{"repo":"LienBosmans/stack-t","free":true,"listed":false,"github":"https://github.com/LienBosmans/stack-t","clone":"git clone https://github.com/LienBosmans/stack-t.git","description":"Stack't is a small MDS-in-a box, that specializes in providing interoperability for object-centric event logs by mapping to a flexible & robust data hub.","language":"Python","stars":14,"topics":["mds-in-a-box","ocel2","dbt","duckdb","process-mining"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Note from Lien: I'm currently focusing on developping PyStack't, a Python package that makes some core functionalities of Stack't available to a wider audience. I highly recommend checking it out and giving your input. In the future, I will probably integrate PyStack't in Stack't, but you never know how it goes with hobby projects of course... Stack't Stack't is a small data stack (DuckDB + dbt) in a box (Docker container with Python image), that specializes in data ingestion and transformation for object-centric event data. Stack't uses a hub-and-spoke architecture around a relational schema (\"data storage hub\") specifically designed to be friendly for data engineers (flexible, scalable, no schema changes, supports append-only asynchronous incremental batch ingestion, ...). Current functionality includes: - Extracting object-centric event data from a GitHub repository (in active development, additional data mapping will be added over time) - Importing existing OCEL 2.0 event logs - Exporting to OCEL 2.0 and DOCEL event logs - Interactive visuals for data exploration (using Neo4j) Relational schema Quick start Using different event data sources: - for jaffle-shop example: - - for GitHub log - At top of python script github logs/script.py , fill in the ## User input section. - Run python3 ../github logs/script.py to generate the event log. - At the top of python script python code/import stackt github generate dbt models.py , change the source and file name. - - for OCEL 2.0: ","default_branch":null,"files":null,"tree":[],"storefront":"/r/LienBosmans","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LienBosmans/stack-t/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}