Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Nov 16, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Turns Data and AI algorithms into production-ready web applications in no time.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
An orchestration platform for the development, production, and observation of data assets.
Data intensive science for everyone.
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基于django的工作流引擎,工单(a workflow engine base on django python)
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Reusable workflow library for Django
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A modern Python package and dependency manager supporting the latest PEP standards
A series of DAGs/Workflows to help maintain the operation of Airflow
蓝鲸智云标准运维(SOPS)
A powerful workflow engine implemented in pure Python
基于RBAC模型权限控制的中小型应用的基础开发平台,前后端分离,后端采用django+django-rest-framework,前端采用vue+ElementUI,移动端采用uniapp+uView(可发布h5和小程序).
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Full-featured library for writing Alfred 3 & 4 workflows
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