YMa-lab/TableMage
Python package for low-code/conversational clinical data science
This tool helps clinical researchers and data scientists quickly explore and analyze tabular clinical datasets. You can feed in your patient data or trial results and use plain language commands to perform tasks like regression analysis or benchmarking different predictive models. It's designed for medical professionals who want to derive insights from data without extensive coding.
Use this if you are a clinical data scientist or researcher who needs to rapidly analyze clinical trial data or patient records and want to interact with your data using conversational commands.
Not ideal if you are looking for a general-purpose data analysis tool for domains outside of clinical data science or if you prefer a traditional coding interface over a low-code/conversational approach.
Stars
10
Forks
4
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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