Turns Data and AI algorithms into production-ready web applications in no time.

Workflow Engine for Kubernetes

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Concourse is a container-based automation system written in Go.

ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

Build data pipelines, the easy way 🛠️

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Event-driven Automation Framework for Kubernetes

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

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.

Elyra extends JupyterLab with an AI centric approach.

A Julia machine learning framework

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Framework for large distributed pipelines

Azure AKS Kubernetes Masterclass

Un repositorio más con conceptos básicos, desafíos técnicos y recursos sobre ingeniería de datos en español 🧙✨

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Tenzir is the data pipeline engine for security teams.

A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.