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Fast and Accurate ML in 3 Lines of Code

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

A terminal spreadsheet multitool for discovering and arranging data

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A desktop application for viewing and analyzing tabular data

Algorithms for outlier, adversarial and drift detection

Automatic architecture search and hyperparameter optimization for PyTorch

SDG is a specialized framework designed to generate high-quality structured tabular data.

AI code-writing assistant that understands data content

In-memory tabular data in Julia

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Data validation toolkit for assessing and monitoring data quality.

A Python toolkit for processing tabular data

A TUI pager with advanced support for tabular data, inferring/swapping delimiters, and real-time event parsing.

csvreader library / gem - read tabular data in the comma-separated values (csv) format the right way (uses best practices out-of-the-box with zero-configuration)