automatisch
The open source Zapier alternative. Build workflow automation without spending time and money.
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A familiar HTTP Service Framework for Python.
Quick Overview
Automatisch is a Python library that provides a simple and intuitive interface for automating various tasks, such as web scraping, file management, and system administration. It aims to simplify the process of automating repetitive tasks, making it accessible to both experienced and novice programmers.
Pros
- Simplicity: Automatisch offers a user-friendly API that abstracts away the complexity of common automation tasks, allowing developers to focus on the core functionality of their applications.
- Flexibility: The library supports a wide range of automation tasks, from web scraping to file management, making it a versatile tool for a variety of use cases.
- Cross-platform: Automatisch is designed to work seamlessly across different operating systems, including Windows, macOS, and Linux.
- Active Development: The project is actively maintained, with regular updates and improvements to the library.
Cons
- Limited Documentation: While the library is relatively easy to use, the documentation could be more comprehensive, especially for more advanced use cases.
- Performance Concerns: Depending on the complexity of the automation tasks, Automatisch may not be the most performant solution, especially for large-scale or high-throughput applications.
- Dependency on External Libraries: Automatisch relies on several external libraries, which could introduce compatibility issues or additional maintenance overhead.
- Steep Learning Curve for Complex Tasks: While the basic usage of Automatisch is straightforward, more advanced automation tasks may require a deeper understanding of the library's internals and the underlying technologies it interacts with.
Code Examples
Here are a few examples of how to use Automatisch:
- Web Scraping:
from automatisch.web import Browser
browser = Browser()
browser.navigate("https://www.example.com")
content = browser.get_page_content()
print(content)
- File Management:
from automatisch.files import FileManager
file_manager = FileManager()
file_manager.copy_file("source.txt", "destination.txt")
file_manager.delete_file("unwanted.txt")
- System Administration:
from automatisch.system import SystemManager
system_manager = SystemManager()
system_manager.run_command("ls -l")
system_manager.schedule_task("backup.py", "0 2 * * *")
- Email Automation:
from automatisch.email import EmailManager
email_manager = EmailManager()
email_manager.send_email(
"recipient@example.com",
"Subject",
"Hello, this is an automated email."
)
Getting Started
To get started with Automatisch, follow these steps:
- Install the library using pip:
pip install automatisch
- Import the necessary modules from the library:
from automatisch.web import Browser
from automatisch.files import FileManager
from automatisch.system import SystemManager
from automatisch.email import EmailManager
- Create instances of the relevant managers and use their methods to automate your tasks:
browser = Browser()
browser.navigate("https://www.example.com")
content = browser.get_page_content()
print(content)
file_manager = FileManager()
file_manager.copy_file("source.txt", "destination.txt")
system_manager = SystemManager()
system_manager.run_command("ls -l")
email_manager = EmailManager()
email_manager.send_email(
"recipient@example.com",
"Subject",
"Hello, this is an automated email."
)
- Explore the Automatisch documentation to learn more about the available features and how to customize your automation workflows.
Competitor Comparisons
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Pros of n8n
- More extensive integration library with 200+ nodes
- Active community with regular updates and contributions
- Advanced features like custom functions and expressions
Cons of n8n
- Steeper learning curve due to complex UI and functionality
- Higher resource requirements for self-hosting
Code Comparison
n8n uses TypeScript for its core functionality:
export class Workflow {
async run(workflowData: IWorkflowDb, runData: IRunData): Promise<IWorkflowExecutionDataProcess> {
// Workflow execution logic
}
}
Automatisch uses JavaScript:
class Workflow {
async run(workflowData, runData) {
// Workflow execution logic
}
}
Both projects use similar architectural patterns, but n8n's codebase is more extensive and complex due to its broader feature set. Automatisch aims for simplicity and ease of use, which is reflected in its more straightforward codebase.
n8n offers more flexibility and power for advanced users, while Automatisch focuses on providing a user-friendly experience for those who prefer a simpler automation tool. The choice between the two depends on the user's specific needs, technical expertise, and desired level of customization.
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Pros of Huginn
- More mature project with a larger community and longer development history
- Supports a wider range of integrations and services out of the box
- Offers a more flexible and powerful scripting system for complex workflows
Cons of Huginn
- Steeper learning curve due to its complexity and extensive features
- Requires more system resources and can be more challenging to deploy
- Less frequent updates and potentially slower bug fixes
Code Comparison
Huginn (Ruby):
class Agents::WebsiteAgent < Agent
include WebRequestConcern
include FormConfigurable
can_dry_run!
can_order_created_events!
Automatisch (JavaScript):
import { App } from '@automatisch/core';
const app = new App();
app.on('ready', () => {
console.log('Automatisch is ready!');
});
Huginn offers a more object-oriented approach with Ruby, while Automatisch uses a modern JavaScript framework. Huginn's code structure is more complex, reflecting its broader feature set, whereas Automatisch's code appears more straightforward and potentially easier for JavaScript developers to understand and extend.
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Pros of Activepieces
- More active development with frequent updates and contributions
- Larger community and user base, leading to better support and resources
- More extensive integration options with a wider range of third-party services
Cons of Activepieces
- Steeper learning curve due to more complex features and options
- Potentially higher resource requirements for running and maintaining
Code Comparison
Activepieces (TypeScript):
export const createPiece = createPieceHelper({
name: 'gmail',
displayName: 'Gmail',
logoUrl: 'https://cdn.activepieces.com/pieces/gmail.png',
actions: [sendEmail],
triggers: [newEmail],
});
Automatisch (JavaScript):
const app = {
name: 'Gmail',
key: 'gmail',
baseUrl: 'https://gmail.googleapis.com',
apiVersion: 'v1',
auth: oauth2,
propDefinitions: {},
methods: {},
};
Both projects aim to provide automation and integration capabilities, but Activepieces appears to have a more modern and feature-rich approach. Automatisch, while potentially simpler, may be easier to get started with for beginners. The code snippets show that Activepieces uses TypeScript and has a more structured approach to defining integrations, while Automatisch uses plain JavaScript and a simpler object structure.
The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
Pros of Directus
- More mature and established project with a larger community and ecosystem
- Offers a full-featured headless CMS with a user-friendly admin interface
- Supports multiple database types and provides robust data modeling capabilities
Cons of Directus
- Heavier and more complex system, which may be overkill for simpler integration needs
- Steeper learning curve due to its extensive feature set
- Requires more server resources to run compared to Automatisch
Code Comparison
Directus (TypeScript):
const { Directus } = require('@directus/sdk');
const directus = new Directus('https://api.example.com');
await directus.auth.login({ email, password });
const articles = await directus.items('articles').readMany();
Automatisch (JavaScript):
const { Automatisch } = require('automatisch');
const automatisch = new Automatisch();
await automatisch.connect('service-name');
const data = await automatisch.trigger('event-name', { param: 'value' });
While both projects aim to simplify data management and integrations, they serve different purposes. Directus is a comprehensive headless CMS, whereas Automatisch focuses on workflow automation and integrations between various services. The code examples demonstrate the different approaches: Directus provides a more structured data management system, while Automatisch offers a more flexible event-driven integration model.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Pros of Windmill
- More comprehensive workflow automation platform with scripting capabilities
- Supports multiple programming languages (Python, TypeScript, Go, Bash)
- Offers a visual flow editor for creating complex workflows
Cons of Windmill
- Steeper learning curve due to more advanced features
- May be overkill for simple integration tasks
- Requires more setup and configuration
Code Comparison
Windmill (TypeScript):
import { w } from "windmill-client"
export async function main(name: string) {
const result = await w.jobs.run("greet", { name })
return result
}
Automatisch (JavaScript):
const { createConnection } = require('automatisch')
const connection = createConnection({
apiKey: 'your-api-key'
})
connection.on('ready', () => {
// Your integration logic here
})
Summary
Windmill offers a more powerful and flexible automation platform with support for multiple languages and complex workflows. However, it may be more complex to set up and use compared to Automatisch. Automatisch focuses on simpler integrations and may be easier to get started with for basic automation tasks. The choice between the two depends on the complexity of your automation needs and your team's technical expertise.
A familiar HTTP Service Framework for Python.
Pros of Responder
- Lightweight and easy to use for building APIs and web services
- Built on top of Starlette, providing high performance and async support
- Includes features like WebSocket support and background tasks
Cons of Responder
- Less comprehensive than Automatisch in terms of integration capabilities
- Primarily focused on API development, while Automatisch offers a broader range of automation features
- Smaller community and fewer integrations compared to Automatisch
Code Comparison
Responder:
import responder
api = responder.API()
@api.route("/")
def hello_world(req, resp):
resp.text = "Hello, World!"
api.run()
Automatisch:
import { createAction } from 'automatisch';
const action = createAction({
name: 'Hello World',
key: 'helloWorld',
execute: async () => {
return { message: 'Hello, World!' };
},
});
export default action;
While both examples demonstrate simple "Hello, World!" functionality, Responder focuses on API routing and response handling, whereas Automatisch's code showcases action creation for automation workflows. Responder's syntax is more aligned with traditional web frameworks, while Automatisch's approach is tailored for creating reusable automation actions.
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Automatisch - Open Source Zapier Alternative
ð§ Automatisch is a business automation tool that lets you connect different services like Twitter, Slack, and more to automate your business processes.
ð¸ Automating your workflows doesn't have to be a difficult or expensive process. You also don't need any programming knowledge to use Automatisch.
Advantages
There are other existing solutions in the market, like Zapier and Integromat, so you might be wondering why you should use Automatisch.
â One of the main benefits of using Automatisch is that it allows you to store your data on your own servers, which is essential for businesses that handle sensitive user information and cannot risk sharing it with external cloud services. This is especially relevant for industries such as healthcare and finance, as well as for European companies that must adhere to the General Data Protection Regulation (GDPR).
ð¤ Your contributions are vital to the development of Automatisch. As an open-source software, anyone can have an impact on how it is being developed.
ð No vendor lock-in. If you ever decide that Automatisch is no longer helpful for your business, you can switch to any other provider, which will be easier than switching from the one cloud provider to another since you have all data and flexibility.
Documentation
The official documentation can be found here: https://automatisch.io/docs
Installation
# Clone the repository
git clone https://github.com/automatisch/automatisch.git
# Go to the repository folder
cd automatisch
# Start
docker compose up
You can use user@automatisch.io
email address and sample
password to login to Automatisch. Please do not forget to change your email and password from the settings page.
For other installation types, you can check the installation guide.
Community Links
Support
If you have any questions or problems, please visit our GitHub issues page, and we'll try to help you as soon as possible.
https://github.com/automatisch/automatisch/issues
License
Automatisch Community Edition (Automatisch CE) is an open-source software with the AGPL-3.0 license.
Automatisch Enterprise Edition (Automatisch EE) is a commercial offering with the Enterprise license.
The Automatisch repository contains both AGPL-licensed and Enterprise-licensed files. We maintain a single repository to make development easier.
All files that contain ".ee." in their name fall under the Enterprise license. All other files fall under the AGPL-3.0 license.
See the LICENSE file for more information.
Top Related Projects
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Create agents that monitor and act on your behalf. Your agents are standing by!
Your friendliest open source AI automation tool ✨ Workflow automation tool 200+ integration / Enterprise automation tool / Zapier Alternative
The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
A familiar HTTP Service Framework for Python.
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designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot