Description
Tad FOR LINUX
If you're a data engineer or a data scientist, then you probably know the importance of tabular presentation of data. Being able to view and analyze data in an orderly and structured fashion can massively boost your productivity.
That's exactly why Tad was created. Tad is a free and open-source application that allows you to view and analyze tabular data. More accurately, Tad is a sleek CSV file viewer that also works with (very) large files.
Key Features:
- Works with CSVs, Parquet files, SQLite, and DuckDb databases
- Implements a hierarchical pivot table for various data manipulations
- Uses SQL queries for analytic operations
- Utilizes SlickGrid for rendering the data grid
- Allows construction of filters and combination of operations
Additional Features:
- Add aggregation functions and change formatting of columns
- Drag column names in the list of pivoted columns for adjustment
- Modern, easy-to-use, and well-thought-out interface
Tad FOR LINUX is an amazing application for viewing and analyzing tabular data sets. Despite not being very stylish, it provides a modern and sleek interface that is easy to use and helps you analyze data effectively.
User Reviews for Tad FOR LINUX 7
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for Tad FOR LINUX
Tad FOR LINUX is a sleek tool for data engineers and scientists to view and analyze tabular data efficiently. A modern, easy-to-use application.
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for Tad FOR LINUX
Tad is a game changer for data analysis! Its pivot table feature makes exploring large datasets so easy.
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for Tad FOR LINUX
I love how intuitive Tad is. The ability to filter and aggregate data seamlessly boosts my productivity!
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for Tad FOR LINUX
Tad has transformed the way I work with tabular data. It's powerful, open-source, and incredibly user-friendly.
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for Tad FOR LINUX
As a data engineer, I appreciate Tad's robust features. It handles large CSV files effortlessly—highly recommend!
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for Tad FOR LINUX
Tad is simply fantastic! The interface may not be flashy, but its functionality is top-notch for data analysis.
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for Tad FOR LINUX
This app is perfect for analyzing complex datasets. The combination of SQL queries and pivot tables works wonders!