#自动化#n8n 是一个易扩展的自动化工作流工具,轻松实现不同服务任务之间的互联
#大语言模型#拖拉拽界面构建定制化的LLM流程
Budibase 是一个开源的低代码平台,在几分钟内可以构建内部应用,如管理面板、内部工具、客户端门户等。支持 PostgreSQL, MySQL, MSSQL, MongoDB, Rest API, Docker, K8s
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications
Temporal 是一个微服务编排平台,使开发人员能够在不牺牲生产力或可靠性的情况下构建可扩展的应用程序。 Temporal 服务以弹性方式执行应用程序逻辑单元工作流,自动处理间歇性故障并重试失败的操作。
An orchestration platform for the development, production, and observation of data assets.
翻译 - 用于构建数据应用程序的Python库:ETL,ML,数据管道等。
#大语言模型#Your friendliest open source AI automation tool ✨ Workflow automation tool 200+ integration / Enterprise automation tool / Zapier Alternative
3D Reconstruction Software
翻译 - 3D重建软件
The open-source AIOps and alert management platform
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
翻译 - Cadence是一个分布式,可伸缩,持久且高度可用的编排引擎,以可伸缩和有弹性的方式执行异步长时间运行的业务逻辑。
The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.
Event-driven Automation Framework for Kubernetes
翻译 - 事件驱动的工作流自动化框架
CLI task management & automation tool
A compact, portable, and language-agnostic workflow engine. It aims to solve greater problems.
#自然语言处理#Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋
Customizable no-code component for building flow-based programming applications or workflow automation. 0 external dependencies.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
The blessed GitHub Action, for publishing your 📦 distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publish