Workflow Engine for Kubernetes

Concourse is a container-based continuous thing-doer written in Go.

🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.

Build data pipelines, the easy way 🛠️

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

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

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

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

Event-driven Automation Framework for Kubernetes

Elyra extends JupyterLab with an AI centric approach.

A Julia machine learning framework

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.

Hop Orchestration Platform

Framework for large distributed pipelines

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.

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

Azure DevOps Extension for Azure CLI

🦊 Test your Gitlab CI Pipelines changes locally using Docker.

Open source security data pipelines