☁️ Build multimodal AI applications with cloud-native stack
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Updated
May 25, 2024 - Python
☁️ Build multimodal AI applications with cloud-native stack
Declarative Continuous Deployment for Kubernetes
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
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.
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.
Turns Data and AI algorithms into production-ready web applications in no time.
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.
🍴 Web applications made easy. Since 2011.
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Build powerful pipelines in any programming language.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton
Add a description, image, and links to the pipeline topic page so that developers can more easily learn about it.
To associate your repository with the pipeline topic, visit your repo's landing page and select "manage topics."