Turns Data and AI algorithms into production-ready web applications in no time.
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Updated
Dec 26, 2024 - Python
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 continuous thing-doer 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
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
Tenzir is the data pipeline engine for security teams.
Un repositorio más con conceptos básicos, desafíos técnicos y recursos sobre ingeniería de datos en español 🧙✨
Azure DevOps Extension for Azure CLI
Add a description, image, and links to the pipelines topic page so that developers can more easily learn about it.
To associate your repository with the pipelines topic, visit your repo's landing page and select "manage topics."