Track changes, collaborate, and revert in real-time with Databag, an open-source version control system for tabular data like CSVs.
Databag is an open-source version control system designed specifically for tabular data such as CSV files. It allows you to track changes to your data sets over time, much like developers use Git to track changes to source code.
Some key capabilities of Databag include:
Databag can help data teams work together on analytics, business intelligence, machine learning, or any projects involving tabular data that changes over time. It provides version control, change tracking, and collaboration tools tailored specifically for CSVs and structured data. This allows more transparency, accountability, and reproduciblity around data pipeline and analysis work.
As an open source tool, Databag is freely available to download and use. It has command line, Python, JavaScript, and REST interfaces to fit into a variety of tech stacks. Databag integrates nicely into data science workflows and works well for developers, analysts, and data engineers alike.
Here are some alternatives to Databag:
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