☁️ Build multimodal AI applications with cloud-native stack
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Updated
Nov 12, 2024 - Python
☁️ Build multimodal AI applications with cloud-native stack
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...
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.
Always know what to expect from your data.
A cloud-native Pipeline resource.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
🧙 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.
Build powerful pipelines in any programming language.
最全面的游戏开发技术图谱。帮助游戏开发者们在已知问题上节省时间,省出更多的精力投入到更有创造性的工作中去。
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."