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Workflow & Automation
ActivePieces
ActivePieces logo
Workflow & Automation

ActivePieces

ActivePieces is an open-source, no-code automation platform that enables users to connect various applications and services through visual workflows called 'pieces.' It functions as a modern alternative to tools like Zapier and Make, allowing businesses and developers to automate repetitive tasks without writing code. The platform provides a drag-and-drop interface where users can create workflows by connecting triggers (events that start a workflow) with actions (tasks performed in response). ActivePieces supports hundreds of integrations with popular SaaS tools, databases, and APIs, including Google Workspace, Slack, Salesforce, and OpenAI. Its open-source nature allows organizations to self-host the platform for enhanced security and customization. The tool is designed for both technical and non-technical users, from small business owners automating marketing tasks to developers building complex business logic. It emphasizes flexibility, with the ability to create custom pieces using TypeScript for advanced use cases.

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📊 At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
≈150K visits/month (public web traffic estimate, Q4 2024)
Engagement
0🔥
0👁️
Categories
Workflow & Automation
Process Automation

Key Features

Visual Workflow Builder

Drag-and-drop interface for creating automation workflows by connecting triggers and actions from different applications. Users can visually map data flow between pieces with conditional logic and loops.

Open-Source Core

The complete platform is available on GitHub under an open-source license, allowing organizations to self-host, audit, modify, and extend the codebase to meet specific requirements.

Custom Pieces Development

Developers can create custom integration pieces using TypeScript to connect with proprietary systems, internal APIs, or specialized services not available in the standard library.

AI Integration Pieces

Pre-built pieces for AI services like OpenAI, Anthropic, and Google AI that can be incorporated into workflows for content generation, classification, analysis, and decision-making.

Execution Monitoring & Logging

Comprehensive dashboard showing workflow execution history, success/failure rates, performance metrics, and detailed logs for debugging failed runs or optimizing performance.

Pricing

Free

$0
  • ✓1000 tasks per month
  • ✓5 active workflows
  • ✓Unlimited team members
  • ✓Community support
  • ✓Basic integrations

Pro

$15 per project/month
  • ✓10,000 tasks per month
  • ✓Unlimited active workflows
  • ✓Unlimited team members
  • ✓Priority support
  • ✓Advanced integrations
  • ✓Custom pieces

Enterprise

custom
  • ✓Unlimited tasks
  • ✓Unlimited workflows
  • ✓Dedicated support
  • ✓SLA guarantees
  • ✓SSO/SAML
  • ✓Audit logs
  • ✓Custom deployment options
  • ✓Compliance assistance

Traffic & Awareness

Monthly Visits
≈150K visits/month (public web traffic estimate, Q4 2024)
Global Rank
##85,432 global rank by traffic (Similarweb estimate)
Bounce Rate
≈42% (Similarweb estimate, Q4 2024)
Avg. Duration
≈00:03:45 per visit (Similarweb estimate, Q4 2024)

Use Cases

1

Marketing Automation

Marketing teams use ActivePieces to automate lead nurturing, content distribution, and campaign tracking. For example, when a new contact submits a website form, ActivePieces can add them to a CRM, send a personalized welcome email, schedule a follow-up task in a project management tool, and notify the sales team on Slack. This eliminates manual data entry between systems and ensures timely follow-ups, improving conversion rates while reducing administrative overhead.

2

Customer Support Workflow

Support teams automate ticket routing, escalation, and response processes. When a customer submits a support ticket via email or form, ActivePieces can classify the issue using AI, assign it to the appropriate team based on category, create a task in their help desk system, and send acknowledgment messages via the customer's preferred channel. For urgent issues, it can immediately page on-call engineers through PagerDuty while logging the incident in a status page system.

3

Data Synchronization Between Systems

Organizations use ActivePieces to keep data consistent across multiple business applications without manual exports and imports. For instance, when a sale is recorded in Stripe, ActivePieces can automatically create a corresponding invoice in QuickBooks, update inventory levels in Shopify, log the transaction in Google Sheets for reporting, and notify the fulfillment team via Microsoft Teams. This ensures all systems have current information without the errors and delays of manual synchronization.

4

AI-Enhanced Content Processing

Content teams automate the creation, moderation, and distribution of digital content. When a blog post draft is added to Google Docs, ActivePieces can use OpenAI to check grammar and tone, generate a featured image using DALL-E, format it for the CMS, schedule publication, and share excerpts across social media platforms with optimal timing. This reduces the manual steps in content workflows while maintaining quality through AI assistance.

5

IT Operations Automation

IT departments automate routine maintenance, monitoring, and incident response tasks. ActivePieces can watch for specific error patterns in application logs, automatically restart services, create Jira tickets for investigation, notify engineers via Discord, and update status pages. For security events, it can trigger isolation procedures, log forensic data, and alert security teams while executing predefined containment workflows.

How to Use

  1. Step 1: Sign up for an account on the ActivePieces website or deploy the open-source version on your own infrastructure using Docker or other deployment methods.
  2. Step 2: Navigate to the dashboard and create a new workflow. Give it a descriptive name that reflects its purpose, such as 'Slack to Google Sheets Logger.'
  3. Step 3: Add a trigger piece by selecting from available integrations. For example, choose 'Slack' and configure it to trigger when a new message arrives in a specific channel.
  4. Step 4: Add action pieces to define what happens after the trigger. You might add a 'Google Sheets' action to append the message content to a spreadsheet, then add an 'OpenAI' action to analyze sentiment.
  5. Step 5: Configure each piece by authenticating with the respective services (OAuth, API keys) and setting parameters like sheet names, column mappings, or AI model preferences.
  6. Step 6: Test the workflow using the built-in testing feature to verify data flows correctly between pieces and troubleshoot any connection or formatting issues.
  7. Step 7: Enable the workflow to run automatically. Monitor execution logs in the dashboard to ensure it's working as expected and check for any errors.
  8. Step 8: For advanced needs, create custom pieces using TypeScript to integrate with proprietary systems or implement unique business logic not covered by pre-built pieces.

Reviews & Ratings

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At a Glance

Pricing Model
Freemium
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