PranavMotarwar/zipstream-ai
A lightweight Python tool to query compressed datasets with LLMs
This tool helps data professionals quickly analyze information stored in compressed archives (.zip, .tar.gz) without needing to manually extract files. You provide a compressed dataset, and it lets you ask questions about the data using natural language, receiving insights directly. It's ideal for data scientists, analysts, or researchers who frequently work with large, compressed datasets and want to extract information efficiently.
Use this if you need to quickly get answers from compressed data files (like CSVs or JSONs within a .zip) using plain language queries, without the hassle of extracting everything first.
Not ideal if your primary goal is to perform complex data transformations or build intricate machine learning models, as it's optimized for quick querying rather than deep analytical workflows.
Stars
21
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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