@adidas

Top repositories

1

adidas-devops-maturity-framework

The DevOps maturity framework was created by adidas as a guide for the first DevOps cup to support the teams on their DevOps transformation journey.
583
star
2

api-guidelines

adidas group API design guidelines
285
star
3

lakehouse-engine

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
Python
215
star
4

mvi

Library for implementing MVI (Model-View-Intent) architecture in Kotlin.
Kotlin
84
star
5

adidas.github.io

adidas GitHub Portal
Vue
73
star
6

choicesjs-stencil

Select Web Component which wraps ChoicesJS library using StencilJS
HTML
65
star
7

adidas-yarn-design-system

YARN is a frontend toolkit for developing with HTML, CSS and JS with adidas style. It provides the base layout for frontend applications
CSS
54
star
8

htmplar

Templar is a React to HTML converter. It is created for developer friendly e-mail template development. By leveraging the component structure with React, it composes a reusable and maintainable pipeline for the projects.
JavaScript
51
star
9

api-pm-training

Training materials to deliver an API Product Owner training. The training follows a "learning by doing" methodology with big emphasis on students solving a realistic problem for the first time with the facilitation of an instructor. The training is split in modules with each module touching upon different areas of responsibilities for an API product owner.
42
star
10

coding-challenges

adidas coding challenges: solve some of them and let us know!
Swift
42
star
11

m3d-api

Metadata Driven Development (m3d) is a cloud and platform agnostic framework for the automated creation, management and governance of data lakes.
Python
31
star
12

js-linter-configs

JavaScript, TypeScript and CSS shareable linter configurations
JavaScript
30
star
13

amdf

Advanced Material Data Format
26
star
14

adidas-contribution-guidelines

Guidelines to contribute in adidas projects: coding style, be a contributor and useful information
25
star
15

m3d-engine

M3D Engine is a Spark application for the development of scalable data transformations and ingestions in data lakes.
Scala
18
star
16

js-build-tools

adidas configurations for JavaScript tooling
JavaScript
13
star
17

datamesh-sharing-data-at-scale

adidas Data Mesh implementation
TypeScript
12
star
18

acictl

adidas continuous integration and deployment command line tool
Go
10
star
19

mashery-toolbelt

THIS PROJECT IS DEPRECATED AND NOT MAINTAINED ANYMORE - CLI tool for Mashery API Management provisioning
JavaScript
8
star
20

s3-upload-cleaner

Go
6
star
21

lakehouse-engine-docs

The Goal of this project is to provide documentation for the Lakehouse Engine framework.
HTML
6
star
22

safe-publish

Safe NPM package publication
JavaScript
4
star
23

veracode-cli

Go
3
star
24

adidas-yarn-design-system-plugins

adidas YARN Design System plugins
Vue
3
star
25

analytics-specification

2
star
26

adidas-sac-custom-fonts

1
star
27

codenstripes

Vue
1
star
28

adidas-yarn-plugin-choicesjs-stencil

ChoicesJS Web Component plugin for adidas YARN Design System library
CSS
1
star
29

harborutils

Go
1
star