There are 4 repositories under environments topic.
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton
Easiest way to add multi-environment yaml settings to Rails, Sinatra, Padrino and other Ruby projects.
💪 Helper Utils(700+): int, byte, string, array/slice, map, struct, dump, convert/format, error, web/http, cli/flag, OS/ENV, filesystem, system, test/assert, time and more. Go 常用的一些工具函数:数字,字符串,数组,Map,结构体,反射,文本,文件,错误,时间日期,特殊处理,格式化,常用信息获取等等
A unified framework for robot learning
Inspect and refine PATH environment variable on Windows, Linux and MacOS.
Easy to use environment variables for Ionic3!
:recycle: CLI & GUI for continuous migration of config data across environments
A CLI tool for synchronizing the schema and configuration of Directus across various environments.
Data science environments, for collaboration. ✨
Transform environment variables for use with Terraform (e.g. `HOSTNAME` ⇨ `TF_VAR_hostname`)
Simplified Firebase interaction for continuous integration
How to create a challenge on EvalAI?
Parse env string values to correct values, not all values are strings. And automatically generate ImportMetaEnv
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
GitHub Action to preview pull requests before merging
An HP 2D Lattice Environment with a Gym-like API for the Protein Folding Problem
A Kubernetes operator for creating isolated environments
Code respository for AutSPACEs: the Autistica/Turing citizen science platform
Modernisation platform environments • This repository is defined and managed in Terraform
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Automated Deployment of Lab Environments System (ADLES)
A set of language environments for Fission
Managing multiple environments with Terraform made easy
This repo contains Anaconda environment.yml files for different deep learning frameworks (i.e. TensorFlow, PyTorch, Theano, etc.)
A tool that allows you to roll out your environments into your k8s cluster using templated specifications, monitor the activity of these services, as well as easily clean up the cluster of unused resources that you rolled out earlier.
Environment.monitor is the solution for continuous tracking of any environmental components availability over time. Designed to provide single and comprehensive interface for tracking and evaluation of environment health.
Python environment configuration simplified - highly inspired by `node-config`.
Pytest plugin to validate use of envvars on your tests
Gatsby plugin to provide custom environment variables in client-side
:warning: One fell swoop for loading and asserting environment settings in node.
A extends of vitest globals for eslint