CleverCSV provides a drop-in replacement for the Python csv package with improved dialect detection for messy CSV files. It also provides a handy command line tool that can standardize a messy file or generate Python code to import it.

Converts csv files into LaTeX tables. Contribute to O2-AC/csv2tex development by creating an account on GitHub.

This is a set of command line utilities for manipulating large tabular data files. Files of numeric and text data commonly found in machine learning, data mining, and similar environments. Filtering, sampling, statistics, joins, and more.

These tools are especially useful when working with large data sets. They run faster than other tools providing similar functionality, often by significant margins. See Performance Studies for comparisons with other tools.

They perform data manipulation and statistical calculations on tab delimited data. They are intended for large files. Larger than ideal for loading entirely in memory in an application like R, but not so big as to necessitate moving to Hadoop or similar distributed compute environments. The features supported are useful both for standalone analysis and for preparing data for use in R, Pandas, and similar toolkits.

From eBay.

Executes SQL-like queries on CSVs/TSVs tabular data files; each tabular file is treated as a database table; support to all SQL constructs (WHERE, GROUP BY, JOIN).

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable:

1. Simple tasks should be easy.
2. Performance trade offs should be exposed in the CLI interface.
3. Composition should not come at the expense of performance.