Workflow Engine for Kubernetes
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Updated
Jul 16, 2024 - Go
Workflow Engine for Kubernetes
Turns Data and AI algorithms into production-ready web applications in no time.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Concourse is a container-based continuous thing-doer written in Go.
Build data pipelines, the easy way 🛠️
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
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
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.
Framework for large distributed pipelines
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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.
Azure AKS Kubernetes Masterclass
Open source security data pipelines.
Azure DevOps Extension for Azure CLI
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
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