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CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.

Analyzes structured data and helps produce queries, insights or visualizations.

Analyzes structured data and helps produce queries, insights or visualizations.

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

NumPy and Pandas interface to Big Data.

Lightweight, extensible data validation library for Python.

Read files from Stata, SAS, and SPSS.

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

Reproducible data setup for reproducible science.

Library for working with tabular data in Julia.

A lightweight framework for data analysis in JavaScript.

Collect, clean and visualize your data in Python.

Open-source package for validating ML models & data, with various checks and suites.

Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

Tools for exploratory data analysis in Python.

Functions and data dependencies for loading various word embeddings.

Clojure Data Visualisation library, based on Statistiker and D3.

Analyzes structured data and helps produce queries, insights or visualizations.

Analyzes structured data and helps produce queries, insights or visualizations.

Knowledge sharing platform for data scientists and other technical professions.

Repeatable, atomic and versioned data lake on top of object storage.

Modern columnar data format for ML implemented in Rust.

Pretrain computer vision models on unlabeled data for industrial applications.