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Activepieces vs Dify

Side-by-side comparison of features, pricing, and ratings

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At a glance

DimensionActivepiecesDify
Best forTeams adopting AI agents with visual workflows, budget-conscious automators, and privacy-focused teams needing self-hosting.Teams building and deploying LLM apps (chatbots, RAG, agents) with a low-code approach and multi-workspace governance.
PricingFreemium: Free (1k tasks/mo), Pro ($10/mo, 10k tasks), Self-Hosted Free (unlimited tasks, community support).Freemium: Community (free, self-hosted), Sandbox (free, 200 runs/mo), Professional ($59/mo, 5k runs), Team ($159/mo, 50k runs).
Setup complexityCloud version is quick to start; self-hosting requires Docker. Visual builder is intuitive for automations.Cloud Sandbox is instant; self-hosting via Docker/K8s. Visual workflow editor has a learning curve for RAG and agent apps.
Strongest differentiatorOpen-source AI-first automation with 704+ integrations and enterprise governance features (SSO, RBAC, audit logs).End-to-end LLMOps platform with dataset management, prompt versioning, model routing, and MCP bridge.

Activepieces vs Dify: choose Activepieces if you need a general-purpose automation platform with AI agents and 704+ integrations for business workflows (CRM sync, email auto-categorization, human approval steps). Choose Dify if your primary goal is building and deploying LLM-powered applications (chatbots, RAG systems, SQL assistants) with visual workflow tools and dataset management. For most users looking for broad automation, Activepieces wins on integration breadth and lower entry price ($0 self-hosted with unlimited tasks). Dify wins for teams focused on LLM app development and deployment, offering a more specialized platform with A/B testing and model routing.

Activepieces
Activepieces

Open-source AI-first automation platform with 704+ integrations

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Dify
Dify

Open-source platform for building and deploying LLM apps via visual workflows.

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Pricing
Freemium
Freemium
Plans
$0
$10/mo
$0
Free (Apache 2.0 + carve-out)
Free
$59/mo
$159/mo
Rating
Popularity
0 views
0 views
Skill Level
Beginner-friendly
Beginner-friendly
API Available
Platforms
WebAPI
WebAPI
Categories
🤖 Automation & Agents
🤖 Automation & Agents Productivity
Features
Visual flow builder
AI agent builder
704+ app integrations
Self-hosted Community Edition
AI adoption analytics and gamification
Enterprise SSO and RBAC
Audit logs and compliance
Human approval steps in workflows
Custom logic and branching
Webhooks and scheduled triggers
Pieces marketplace (community pieces)
Open source (MIT license)
MCP servers and tables
Impact analytics with cost savings estimates
Team leaderboards and badges
Visual workflow editor
Agent builder with tools
Dataset management and RAG
Prompt versioning and A/B testing
Model-agnostic routing
App templates library
Deploy as chat UI or REST API
Role-based access control
Self-hosted (Docker / K8s) or cloud
MCP bridge for tool calling
Multi-workspace isolation
Observability with logs and analytics
Backend-as-a-Service (BaaS) for deployment
Integrations
Gmail
OpenAI
Slack
Notion
HubSpot
Google Sheets
Discord
Stripe
Google Drive
Salesforce
GitHub
Jira
Trello
Asana
Monday.com
Anthropic
Gemini
Azure OpenAI
Ollama
Hugging Face
Replicate
Llama2
Pinecone
Weaviate
Chroma
Qdrant

Feature-by-feature

Core capabilities: Activepieces vs Dify

Activepieces is an AI-first automation platform that lets you build agents and workflows with a visual builder. It excels at connecting apps (704+ integrations) with triggers, actions, and human approval steps. Dify is an LLMOps platform for building and deploying LLM apps via visual workflows. It includes dataset management for RAG, prompt versioning, and model-agnostic routing. Activepieces wins for general process automation; Dify wins for building LLM applications from scratch.

AI/model approach: Activepieces vs Dify

Activepieces AI features are focused on AI agents that can automate tasks like lead scoring, meeting summarization, and inbox zero. It abstracts LLM calls into agent actions. Dify provides a full LLMOps toolkit: you can select models (OpenAI, Anthropic, Gemini, Ollama, Hugging Face), manage prompt versions, A/B test prompts, and route requests across models. Dify also includes an agent builder with a tool marketplace. Activepieces is better for AI-powered automation; Dify is better for custom LLM app development.

Integrations & ecosystem comparison

Activepieces offers 704+ app integrations including Gmail, OpenAI, Slack, Notion, HubSpot, Google Sheets, Discord, Stripe, Salesforce, GitHub, Jira, Trello, Asana, Monday.com. It also has a Pieces marketplace for community-shared integrations. Dify integrates with LLM providers (OpenAI, Anthropic, Gemini, Azure OpenAI, Ollama, Hugging Face, Replicate, Llama2) and vector databases (Pinecone, Weaviate, Chroma, Qdrant) plus Notion and Slack. Dify has a MCP bridge for calling external tools. Activepieces wins on sheer number of pre-built integrations for business apps; Dify wins on LLM/vector database ecosystem.

Performance & scale comparison

Both platforms are open-source and can be self-hosted. Activepieces cloud offers 1000 tasks/month free, Pro 10k tasks/month. Self-hosted Community Edition has unlimited tasks. Dify cloud offers Sandbox (200 runs/month), Professional (5k runs/month), Team (50k runs/month). Self-hosted Community has unlimited runs but basic logs. Activepieces offers better free tier task limits (1000 vs 200) and truly unlimited tasks on self-hosted. Dify’s cloud plans are more generous for runs after the free tier. Both scale well with self-hosting.

Developer experience and workflow

Activepieces provides a visual flow builder for automations, with branching, logic, webhooks, scheduled triggers. It also offers AI adoption analytics, team leaderboards, badges. Dify provides a visual workflow editor for LLM apps, dataset management, prompt versioning, A/B testing, and deployment as chat UI or REST API. Dify also has an app templates library and multi-workspace isolation. Activepieces is simpler for non-devs; Dify has a steeper learning curve but more powerful LLM app features.

Pricing compared

Activepieces pricing (2026)

Activepieces offers a freemium model. Free: $0, 1000 tasks/month, community pieces, cloud hosted. Pro: $10/month, 10k tasks, premium support, custom domains. Self-Hosted: $0, unlimited tasks, full control, community support. All plans include visual builder and 704+ integrations. No hidden costs or overage fees mentioned.

Dify pricing (2026)

Dify is also freemium. Community: free (Apache 2.0 + carve-out), self-hosted, all core workflows, unlimited apps, basic logs. Sandbox: free, hosted cloud, 200 runs/month, single workspace. Professional: $59/month, 5,000 runs/month, 3 workspaces, team collaboration. Team: $159/month, 50,000 runs/month, SSO, priority support. Note: Sandbox runs may be limited. SSO and priority support require Team tier.

Value-per-dollar: Activepieces vs Dify

Activepieces provides a more generous free tier (1000 tasks vs 200 runs) and unlimited tasks on self-hosted. For budget-conscious teams and smaller workloads, Activepieces offers better value. Dify’s Professional plan ($59/mo for 5k runs) is more expensive than Activepieces Pro ($10/mo for 10k tasks) but is designed for building LLM apps – a different use case. For teams needing LLMOps features, Dify’s pricing is competitive; for general automation, Activepieces wins on cost.

Who should pick which

  • Small business owner wanting to automate lead routing and sync CRM to spreadsheets
    Pick: Activepieces

    Activepieces has 704+ integrations including HubSpot, Salesforce, Google Sheets, and human approval steps, plus a generous free tier (1000 tasks/mo).

  • AI startup building a custom customer support chatbot with RAG over company docs
    Pick: Dify

    Dify provides built-in RAG with dataset management, prompt versioning, and model routing – ideal for deploying a production chatbot.

  • Developer who wants open-source automation with unlimited tasks for internal workflows
    Pick: Activepieces

    Self-hosted Activepieces is free with unlimited tasks, and its visual builder integrates with 704+ apps, perfect for internal automation.

  • IT team needing multi-workspace governance and RBAC for employees to build AI apps
    Pick: Dify

    Dify offers multi-workspace isolation and role-based access control on paid tiers, plus SSO on Team plan.

  • Privacy-conscious enterprise needing self-hosted platform with enterprise governance
    Pick: Activepieces

    Activepieces self-hosted community edition includes SSO, RBAC, and audit logs, giving full data control.

Frequently Asked Questions

What is the main difference between Activepieces and Dify?

Activepieces is an open-source AI-first automation platform for building workflows and AI agents with 704+ integrations. Dify is an open-source LLMOps platform for building, deploying, and operating LLM applications (chatbots, RAG, agents) with dataset management and prompt versioning.

Which tool has a better free tier?

Activepieces free tier offers 1000 tasks/month cloud hosted, while Dify Sandbox offers 200 runs/month. Activepieces also has a free self-hosted option with unlimited tasks.

Can I deploy Activepieces or Dify on my own servers?

Yes, both are open-source and support self-hosting. Activepieces offers a Community Edition with unlimited tasks (Docker). Dify can be self-hosted via Docker or Kubernetes, with Community edition free (Apache 2.0 + carve-out).

Which platform is better for building a customer support chatbot?

Dify, because it includes dataset management for RAG, prompt versioning, and a templates library for chatbots, plus deployment as a chat UI or REST API.

Does Activepieces support enterprise SSO and audit logs?

Yes, the self-hosted Community Edition includes SSO, RBAC, and audit logs. Cloud plans may also offer these on request.

How many integrations does Dify have?

Dify integrates with major LLM providers (OpenAI, Anthropic, Gemini, Azure OpenAI, Ollama, Hugging Face, Replicate, Llama2) and vector databases (Pinecone, Weaviate, Chroma, Qdrant), plus Notion and Slack.

Can I migrate from Activepieces to Dify or vice versa?

Migration is not straightforward because they serve different purposes. You would need to rebuild workflows (Activepieces) or LLM apps (Dify) manually. Both export data via APIs.

Which tool is more suitable for non-technical users?

Activepieces’ visual flow builder for automations is simpler for non-coders. Dify’s workflow editor for LLM apps has a steeper learning curve.

Are there any hidden costs in Activepieces or Dify?

Neither platform advertises hidden costs. Activepieces charges $10/mo for Pro (10k tasks). Dify charges $59/mo for Professional (5k runs). Self-hosted editions are free with community support.

Last reviewed: May 12, 2026