500+ curated resources for data analysis and data science: tools, libraries, roadmaps, cheatsheets, interview guides and more.
A by the Helmholtz metadata collaboration (HMC) - Hub Information & FAIR data commons at FZJ - curated list of awesome stuff around the FAIR principles for (scientific) data, i.e that data is findable, accessable, interoperable and re-usable. The list is organized in use cases of data producers, data users, data curators and data provides. 'FAIR' is not the same as 'open', but there is overlap.
An awesome curated list of resources for Computational Social Science. Inspired by Awesome Network Analysis and others.
This repository contains the assets required to build the Kubernetes website and documentation. We're glad that you want to contribute!
This repo contains the source code and documentation powering react.dev.