Dify: Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Dify records 819,691 monthly visits with -15% growth and Freemium pricing.
Open-source AI automation that unifies agents, flows and 770+ app integrations
Build, deploy, and govern production-ready agentic AI workflows
| Dimension / Metric | | |
|---|---|---|
| Official Domain | activepieces.com | dify.ai |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258.55K (258,553) | 819.69K (819,691) |
| MoM Traffic Delta | +3.87K (+1.5%) | -144.26K (-15%) |
| Primary Market & Share | 🇺🇸 United States (14.1%) | 🇨🇳 China (46.7%) |
| Direct Visits / mo | 111.33K | 470.6K |
| User Rating | 4.6 | 4.8 |
| Supported Platforms | Website | Website |
Open-source AI automation that unifies agents, flows and 770+ app integrations
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.
Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
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.
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.
Build, deploy, and govern production-ready agentic AI workflows
A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary.
Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations.
Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations.
Enterprise-grade security and governance for workflows, but geared more toward security and IT operations.
Enterprise-grade security and governance for workflows, but geared more toward security and IT operations.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms.
Free / Open-sourceAn open-source AI workspace providing visual workflow builders for designing and governing agent systems.
Free / Open-sourceAn open-source drag-and-drop builder specifically designed for chaining foundation models into automated AI pipelines.
Free / Open-sourceAn open-source drag-and-drop builder specifically designed for chaining foundation models into automated AI pipelines.
