Apps similar to Shuffle Automation include IFTTT, which has a free version. Other options are n8n, Zapier, Node-RED and Activepieces . In total there are eight Task Automation Apps like Shuffle Automation for the web, self-hosting, Linux, Mac and Windows.
IFTTT automates over 1000 apps, devices, and services with no coding needed, supports 27 million users, partners with 900+ brands, and offers powerful automation features like filter codes, queries, multiple actions, connections, habit tracking, and location-triggered events.
United States
Leverage a versatile automation tool to streamline tasks and workflows across different platforms using an adaptable, open-source framework. Ideal for self-hosted solutions and SaaS, n8n supports a broad spectrum of integrations with third-party services like Slack, Trello, and Google Sheets.
Germany
EU
Experience automation without coding by connecting 7,000+ apps with Zapier. Create advanced workflows using natural language and drag-and-drop, harness AI for personalized tasks, and customize apps with data tables. Collaborate and scale with enterprise solutions.
United States
Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range nodes in the palette. Flows can be then deployed to the runtime in a single-click.
United States
Activepieces is an open source no-code AI automation tool. The only AI automation tool loved by both technical and non-technical users. It's super extensible code-wise and super easy UI-wise. With Activepieces, you can automate your departments (marketing, sales, HR, legal...
United States
Free Zapier alternative to automate workflows based on Github Actions. With Actionsflow, you can connect your favorite apps, data, and APIs, receive notifications of actions as they occur, sync files, collect data, and more.
China
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
United States
