dbis-ilm/grizzly
A Python-to-SQL transpiler as replacement for Python Pandas
This tool helps data analysts and scientists work with very large datasets stored in databases without needing to write complex SQL or worry about their computer running out of memory. You input your data, then write data manipulation and analysis code in Python, similar to how you might use Pandas. The output is your processed data, retrieved efficiently from the database.
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Use this if you are a data analyst or data scientist who typically uses Python for data manipulation but struggles with the performance or memory limitations of processing large datasets locally, preferring to leverage your existing database for these operations.
Not ideal if you primarily work with smaller datasets that fit comfortably in memory, or if your main workflow already involves direct SQL querying rather than Python.
Stars
49
Forks
7
Language
Python
License
MIT
Category
Last pushed
Dec 19, 2022
Commits (30d)
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