Superset is a data exploration platform designed to be visual, intuitive and interactive.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Superset provides:

A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user
Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
Fast loading dashboards with configurable caching

RAW is an open web tool to create custom vector-based visualizations on top of the amazing d3.js library.

Primarily conceived as a tool for designers and vis geeks, RAW aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, Google Docs, OpenRefine, …) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, …).

RAW works with tabular data (e.g. spreadhseets and comma-separated values) as well as with copied-and-pasted texts from other applications (e.g. Microsoft Excel, TextWrangler, TextEdit, …). Based on the SVG format, visualizations can be easily edited with vector graphics applications for further refinements, or directly embedded into web pages.

Knowing the need of working with sensitive information, the data uploaded to RAW is processed only by the web browser: no server-side operations or storages are performed and no one will see, touch or copy your data!

A simple, intuitive web app for analysing and decoding data without having to deal with complex tools or programming languages. CyberChef encourages both technical and non-technical people to explore data formats, encryption and compression.

OpenRefine is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway.

Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it.
Visualizations: once you have a dataset, you can create different visualizations out of it.
Dashboards: combine several visualizations into a single dashboard.

Mirador is a tool for visual exploration of complex datasets. It enables users to discover correlation patterns and derive new hypotheses from the data.

A collection of the best open data sets and open-source tools for data science, wrapped in an easy-to-use REST/JSON API with command line, Python and Javascript interfaces. Available as a self-contained Vagrant VM or EC2 AMI that you can deploy yourself.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

Ever needed custom formatted sample / test data, like, bad? Well, that's the idea of this script. It's a free, open source tool written in JavaScript, PHP and MySQL that lets you quickly generate large volumes of custom data in a variety of formats for use in testing software, populating databases, and... so on and so forth.

The GeoNames geographical database covers all countries and contains over eleven million placenames that are available for download free of charge.

This site exists to provide a home for, or pointers to, resources from across the Linked Data community.