Automatisch
Self-HostedOpen-source alternative to Zapier for automating workflows between apps
Overview
Automatisch is a self-hosted automation tool that connects apps to automate repetitive tasks without relying on third-party services. It supports hundreds of integrations (e.g., GitHub, Slack, Gmail) and lets you build workflows via a drag-and-drop interface. Deployable via Docker, Kubernetes, or traditional servers, it gives full control over data privacy. Features include webhooks, scheduled triggers, conditional logic, and error handling—ideal for teams replacing proprietary tools while keeping data on-premises.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
automatisch:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: automatisch
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Drag-and-drop workflow builder
- Hundreds of app integrations
- Self-hosted deployment options
- Conditional logic & error handling
Frequently Asked Questions
? Is Automatisch hard to install?
Automatisch is easy to install using Docker (single command) or Kubernetes. It also provides detailed docs for traditional server setups, making it accessible for users with basic sysadmin knowledge.
? Is it a good alternative to Zapier?
Yes—Automatisch offers similar workflow automation but with self-hosting, data privacy, and no recurring costs. While it has fewer templates than Zapier, it’s highly customizable and supports many popular apps.
? Is it completely free?
Yes—Automatisch is open-source under the MIT License, so you can use, modify, and distribute it for free without any restrictions.
Top Alternatives
People Also Ask about Automatisch
Tool Info
Pros
- ⊕ Privacy focused (self-hosted data control)
- ⊕ No subscription fees
- ⊕ Highly customizable
Cons
- ⊖ Requires server setup
- ⊖ Fewer pre-built templates than Zapier
- ⊖ Steeper learning curve for advanced workflows