# Activepieces vs Pipedream

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Pipedream records 312,216 monthly visits with -14.3% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Pipedream](https://openaitools.app/tool/pipedream) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://pipedream.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI API, AI Workflow, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 258,553 | 312,216 |
| MoM Growth Rate | +1.5% | -14.3% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 182,129 |
| Review Score | 4.6 | 4.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Activepieces

Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.

Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.

The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.

**Pricing & Plans:** Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure.

- **AI agents from plain language:** Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.
- **Visual flow builder with inline TypeScript:** Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
- **770+ open-source app connectors:** Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.
- **Chat, Tables and knowledge base:** Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.
- **Enterprise deployment and governance:** Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.

**Strengths:** Open-source core with MIT-licensed pieces and a genuinely self-hostable build; Strong blend of AI agents, a visual builder and inline TypeScript; Enterprise-grade controls including SSO, roles, secret managers and audit streaming; Large connector library plus an HTTP piece for anything not covered

**Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability

[Profile (Markdown)](https://openaitools.app/tool/activepieces.md)

## Pipedream

Pipedream's positioning has shifted from general workflow automation to a concrete developer problem: giving AI agents safe, authenticated access to the apps your users already live in. Instead of building and maintaining OAuth applications for dozens of services, you send users a hosted Connect Link, Pipedream stores and refreshes their tokens, and your agent calls tools that run with the correct per-user credentials.

There are three ways to consume it. The public registry supplies over 10,000 prebuilt actions and triggers across more than 3,000 APIs. A remote MCP server exposes those tools to any MCP-compatible agent with tool discovery built in, which is the workflow the site now leads with. And for anything not yet covered, a raw proxy forwards any HTTP method to any integrated API with credentials injected automatically, so nothing is blocked by a missing connector.

For organizations, the Conduit product adds SSO, access policies, per-user permissions and an audit trail so employees can connect their own apps to AI tools under IT control. Pipedream emphasises security in its messaging: credentials encrypted at rest, scoped per project, never routed through your infra, and revocable via a single API call. Development use is free, with paid plans once you move to production.

**Pricing & Plans:** Free for development with no credit card and no paid plan needed until production. Production pricing is plan-based with usage components, and enterprise governance through Conduit is quote-based; check the pricing page for current figures.

- **Managed authentication for 3,000+ APIs:** Pipedream hosts the OAuth flow, stores and refreshes tokens, and injects the right credentials on every request, scoped per end user and per project.
- **10,000+ prebuilt tools and triggers:** Every integration ships with actions that write to APIs and triggers that stream events into your app in real time, all published in a public registry on GitHub.
- **Remote MCP server for agents:** Point any MCP client at Pipedream's remote server to give an agent thousands of tools with per-user auth and built-in tool discovery.
- **Raw HTTP proxy as an escape hatch:** For endpoints without a prebuilt action, send any HTTP method to any integrated API and Pipedream attaches user credentials and returns the response.
- **Security and enterprise governance:** Credentials are encrypted at rest, scoped per project, kept out of your servers, and revocable with one API call. Conduit adds SSO, access policies and audit trails for organizations.

**Strengths:** Removes the biggest agent bottleneck: writing and maintaining OAuth flows for every integrated app; Very broad coverage, with 10,000+ tools over 3,000+ APIs and a public registry you can extend; MCP support means agents can discover and call tools with no custom tool definitions; Raw proxy guarantees you are never blocked by a missing prebuilt action

**Limitations:** The platform is developer-oriented; non-technical users will find the SDK, MCP and proxy concepts steep; Usage-based pricing on top of plans can be hard to forecast for high-volume agents; Conduit, the enterprise governance product, was still marked early access at the time of review; Connector quality and coverage vary by app, so some niche APIs still need custom code

[Profile (Markdown)](https://openaitools.app/tool/pipedream.md)

## Frequently Asked Questions

### How do Activepieces and Pipedream compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Pipedream has 312,216. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Pipedream has -14.3%.

### How does pricing compare?

Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. Pipedream: Freemium, Paid, Contact for Pricing. Free for development with no credit card and no paid plan needed until production. Production pricing is plan-based with usage components, and enterprise governance through Conduit is quote-based; check the pricing page for current figures.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Features massive app connectivity and no-code automation, but lacks Pipedream's developer-centric code steps and fine-grained agent tool triggers. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides powerful self-hostable workflow automation and node-based AI orchestration, but requires more manual setup for complex OAuth authentication. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Specifically built for equipping AI agents with pre-built tool integrations and managed authentication, but offers less general workflow automation. | [.md](https://openaitools.app/tool/composio.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Provides a visual no-code environment for building AI agents, but with a more enclosed ecosystem than Pipedream's open integrations. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Postman](https://openaitools.app/tool/postman) | 1,764,877 | -7.6% | Freemium | Excellent for designing, testing, and documenting APIs, but focuses on developer testing rather than managed event-driven automation pipelines. | [.md](https://openaitools.app/tool/postman.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Treg](https://openaitools.app/tool/treg) | 452,935 | +223.4% | Freemium | Provides an open-source MCP gateway and pay-per-call API catalog for AI agents, but offers less flexible general workflow building. | [.md](https://openaitools.app/tool/treg.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations. | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | Provides robust universal integration infrastructure for AI apps, but focuses more on B2B SaaS data unification than agent triggers. | [.md](https://openaitools.app/tool/merge-dev.md) |
| 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and governance, but is less tailored for rapid AI agent tool integration. | [.md](https://openaitools.app/tool/tines.md) |

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Source: https://openaitools.app/compare/activepieces-vs-pipedream

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)