🧙 Build, run, and manage data pipelines for integrating and transforming data.
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Updated
May 16, 2024 - Python
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Typescript client for working with Chalk
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Workflow Engine for Kubernetes
benzlokzik's profile readme
Write your pipelines in C# !
Lightweight function pipeline (DAG) creation: 📚 Less Bookkeeping, 🎯 More Doing
A service designed to enhance the monitoring and visibility of deployments managed through ArgoCD Image Updater. Additionally, it supports making commits directly to the GitOps repository, providing an alternative to using the image updater.
Repository maintained by AZ-400 course and Learn content community. Project used for AZ-400 Labs. Forked from: https://github.com/dotnet-architecture/eShopOnWeb Sample - ASP.NET Core 8.0 reference application, powered by Microsoft, demonstrating a layered application architecture with monolithic deployment model.
Long read production pipelines
Config files used to define parameters specific to compute environments at different Institutions
Concourse is a container-based continuous thing-doer written in Go.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
A framework to manage data, continuously
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Turns Data and AI algorithms into production-ready web applications in no time.
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