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Reproducible data setup for reproducible science.

Library for working with tabular data in Julia.

A lightweight framework for data analysis in JavaScript.

A jQuery plugin for geographical map data visualizations using d3.js, SVG.

Information, data and behind-the-scenes details from the WNYC Data News Team.

Collect, clean and visualize your data in Python.

What we have learnt about data science.

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

DataTalks.Club - the place to talk about data!

. A weekly newsletter about data-related things. Archive.

A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.

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

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.

A listener that streams your spark events logs to delight, a free and improved spark UI.

Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.

A Julia package for probability distributions and associated functions.

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

SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.

Tools for exploratory data analysis in Python.

A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

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

DrivenData hosts data science competitions to build a better world, bringing predictive models to organizations tackling the world.

In-process SQL OLAP database management system.