9 Repositories
JavaScript dozer-pipelines Libraries
Remix TypeScript monorepo with Turborepo pipelines, Prisma, PostgreSQL, Docker deploy to Fly.io, pnpm, TailwindCSS and Tsyringe for DI.
Remix template with Turborepo, TypeScript and pnpm. The remix app deploys to fly.io or build to Docker image. Example packages for Database with prisma, Tsyringe dependency injection, UI, and internal TypeScript packages.
Write Dockerfiles and CI pipelines in TypeScript.
Trellis Write Dockerfiles and CI pipelines in TypeScript. Trellis is a portable CI/CD tool. With Trellis, you can define your Dockerfiles and CI/CD pi
Open-source API to securely share data with customers.
Offer secure data pipelines to your customers' data warehouses, directly from your product. Slack · Website · Docs About Pipebird Direct, secure, and
SEE-EYE is a collection of useful Github actions and workflows used to build CI pipelines for TypeScript applications
SEA-EYE 👀 No frils collection of common actions and pre-made workflows for TypeScript project that uses yarn@v1 as package manager. Workflows Build -
A library to create pipelines with contexts and strong type checking.
TypePipe A library to create pipelines with contexts and strong type checking. Installation With Node.js and npm installed in your computer run: npm i
🦥 Handle asynchronous JS pipelines
Postpone 🦥 Small TypeScript library making it easier to handle complex asynchronous tasks. Installation npm install @lorisleiva/postpone Usage import
Continuous Deployment Pipelines (CI/CD) with Dozer
Continuous deployment pipelines are sets of scripts and tools helping you get your project from your workstation, or version control system, to somewhere your target audience can reach it.
A demo for E2E build piplelines in Design Systems using monorepo's and automation :zap:.
Design System Pipelines demo What is it? A working demonstration for end-to-end build piplelines in Design Systems using Primer Primitives, Primer CSS
Automated machine learning for analytics & production
auto_ml Automated machine learning for production and analytics Installation pip install auto_ml Getting started from auto_ml import Predictor from au