A high-performance observability data pipeline.
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. It's mostly used for CI/CD.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Build data pipelines, the easy way 🛠️
AI Infra / AI Orchestration / AI Control Plane
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Event-driven Automation Framework for Kubernetes
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.
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
Un repositorio más con conceptos básicos, desafíos técnicos y recursos sobre ingeniería de datos en español 🧙✨
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Azure AKS Kubernetes Masterclass
Framework for large distributed pipelines
Tenzir is the data pipeline engine for security teams.
PypelineC: A hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
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