# Activepieces vs WindyFlo

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. WindyFlo records 0 monthly visits with -100% growth and Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [WindyFlo](https://openaitools.app/tool/windyflo) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.windyflo.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | No-Code&Low-Code, AI Workflow, AI App Builder, Large Language Models (LLMs) |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 111,328 | 0 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 0 |
| 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)

## WindyFlo

WindyFlo is a no-code platform for engineering AI pipelines, built by Hamadalabs Inc. The idea is straightforward: instead of writing code to orchestrate models, you drag node blocks onto a canvas, wire them together, test-run the flow, and deploy it. The company frames a pipeline as an assembly line for AI, where data is processed, models are applied, and results are produced, and it aims to make that assembly visual.

The platform is provider-agnostic. It lists support for OpenAI, Anthropic, Google Gemini, Meta Llama, and Hugging Face, and it emphasizes that models can be swapped with a few clicks rather than requiring code updates, which matters when the model landscape shifts. Two starting paths are offered: build from scratch on a blank canvas, or fork a pre-built pipeline from the Pipeline Hub and adjust it. Deployment is handled with a single API call that connects the pipeline to your website or app, and WindyFlo states that no additional computing infrastructure is required on your side.

Common examples on the site include a document-retrieval Q&A bot that answers questions from internal guides, a CSV agent that surfaces what customers ask about most, and a conversational agent for support scenarios. The product is positioned toward people who want AI features without a heavy engineering project, from AI beginners forking templates to more experienced builders assembling custom flows. Pricing is not detailed on the homepage and points to a separate Pricing page.

**Pricing & Plans:** WindyFlo does not publish pricing figures on its homepage, which links to a dedicated Pricing page. Cost and plan structure should be confirmed on that page or by contacting the team; WindyFlo also states that no separate computing-resource costs are added on your side.

- **Drag-and-drop pipeline builder:** Assemble AI pipelines on a visual canvas by dragging node blocks into place, with no coding or complex configuration required.
- **Multi-provider model support:** Connect OpenAI, Anthropic, Google Gemini, Meta Llama, and Hugging Face models, and swap models with a few clicks instead of code changes.
- **Pipeline Hub with forkable templates:** Browse and fork ready-made pipelines from the Pipeline Hub, then customize them to fit your use case.
- **One-call API deployment:** Turn a finished pipeline into an API endpoint with a single call and connect it to your website or app, with no extra infrastructure to manage.
- **Tool and data connections:** Attach data and tools such as Google Docs, Google Sheets, and Slack to your flows to build document Q&A bots, CSV agents, and conversational assistants.

**Strengths:** Visual drag-and-drop building removes most of the coding barrier to AI features; Supports several major model providers and makes swapping models low-effort; Pre-built pipelines in the Pipeline Hub let beginners start from a working template; Deployment is a single API call with no additional infrastructure to run

**Limitations:** Interactive, multi-step pipelines have a learning curve even with a visual editor; Advanced wire-ups and custom logic may still need developer help; The tool covers pipeline building, not the full hosting of a finished product

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while WindyFlo has 0. 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%; WindyFlo has -100%.

### 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. WindyFlo: Contact for Pricing. WindyFlo does not publish pricing figures on its homepage, which links to a dedicated Pricing page. Cost and plan structure should be confirmed on that page or by contacting the team; WindyFlo also states that no separate computing-resource costs are added on your side.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [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) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Enterprise-grade security and governance for workflows, but geared more toward security and IT operations. | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 9 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Specializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 10 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Strong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines. | [.md](https://openaitools.app/tool/coze.md) |

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

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