By: Steffen Müller, Yves Orton, Damian Gryski, Chris Veenboer, Rafaël Garcia-Suarez, Ævar Arnfjörð Bjarmason As with many things in computing, serialization of data structures is a game of…

https://github.com/Sereal/Sereal

Command-line interactive multitool for tabular data.

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.

Welcome to the D3 gallery! More examples are available on bl.ocks.org/mbostock. If you want to share an example and don't have your own hosting, consider using Gist and bl.ocks.org. If you want to share or view live examples try vida.io.

Data can be hard to grasp – visualising it can make comprehension faster. Sparklines (tiny charts in text, like this: 123{10,20,30,40,50,60,70,80,90,100}789) are a useful tool but creating them for the web has always required code. Removing the need for code makes it more accessible. If you can use type, you can use Spark.

The ingredients of a successful data table UI

Data is useless without the ability to visualize and act on it. The success of future industries will couple advanced data collection with a better user experience, and the data table comprises much of this user experience.
Good data tables allow users to scan, analyze, compare, filter, sort, and manipulate information to derive insights and commit actions. This article presents a list of design structures, interaction patterns, and techniques to help you design better data tables.