vitalops/datatune

Agentic data transformation on infinite amounts of data

59
/ 100
Established

This tool helps data professionals process and clean vast datasets using natural language instructions. You input raw data from sources like CSVs, databases, or data warehouses, along with a text description of the desired transformations, and it outputs a cleaned, structured dataset. It's ideal for data analysts, data scientists, and business intelligence specialists who need to prepare large volumes of data for reporting or analysis.

143 stars. Available on PyPI.

Use this if you need to apply complex, semantic transformations like categorizing text, extracting specific information, or filtering records based on natural language descriptions across very large datasets without writing extensive code.

Not ideal if you are working with small datasets that can be easily manipulated with traditional spreadsheet software or basic scripting, or if your transformations are purely numerical and don't require semantic understanding.

data-preparation data-cleaning data-transformation business-intelligence data-analysis
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 14 / 25

How are scores calculated?

Stars

143

Forks

16

Language

Python

License

MIT

Last pushed

Mar 03, 2026

Commits (30d)

0

Dependencies

4

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