☁️ Build multimodal AI applications with cloud-native stack

A high-performance observability data pipeline.

Declarative Continuous Deployment for Kubernetes

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

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

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...

Always know what to expect from your data.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

A cloud-native Pipeline resource.

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

httpx is a fast and multi-purpose HTTP toolkit that allows running multiple probes using the retryablehttp library.

A proposal for adding a useful pipe operator to JavaScript.

Install Jenkins, configure Docker as slave, set up cicd, deploy applications to k8s using Argo CD in GitOps way.

🍴 Web applications made easy. Since 2011.

📚 Parameterize, execute, and analyze notebooks

Build powerful pipelines in any programming language.

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