Activepieces vs Dify

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

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionActivepiecesDify
Pricingfreemium · from Free $0/mofreemium · from Sandbox $0
Best forPlatform and ops teams who need to self-host or go air-gapped, Companies migrating off per-task pricing on Zapier or MakeProduct and platform teams shipping RAG-based support or knowledge assistants, Teams that need self-hosted or VPC deployment with SSO, RBAC, and audit logs
Standout featuresChat to automation: describe a workflow in plain words and get a drafted flow · AI agents with custom instructions, tools, knowledge, and human approval gates · Drag-and-drop visual flow builder with branching, retries, waitpoints, and subflowsVisual drag-and-drop workflow builder with a visible execution path · Agent builder with skills, tools, and knowledge, configurable by chat or manually · Knowledge Pipeline for ingesting files, websites, online documents, and drives
Viability score89/10081/100
APIYesYes

Activepieces is the stronger pick for platform and ops teams who need to self-host or go air-gapped; Dify fits better for product and platform teams shipping rag-based support or knowledge assistants.

Built from live tool data, last verified 2026-09-29.

Activepieces
Activepieces

Open-source AI automation: chat-drafted flows, agents, tables, and 760+ app connections you can self-host.

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Dify
Dify

Dify is an open-source platform for building agentic workflows and RAG pipelines with a visual builder.

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Pricing
Freemium
Freemium
Plans
$0/mo
$16/mo billed annually ($20/mo billed monthly)
$166/mo billed annually ($200/mo billed monthly)
Custom
From $36k/year
$0
$590/workspace/year
$1,590/workspace/year
Popularity
3.8k views
3.2k views
Skill Level
Beginner-friendly
Beginner-friendly
API Available
Platforms
WebAPI
WebAPICLI
Categories
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
🤖 Automation & Agents📦 LLM App Frameworks & SDKs🕸️ Agent Frameworks & Orchestration
Features
Chat to automation: describe a workflow in plain words and get a drafted flow
AI agents with custom instructions, tools, knowledge, and human approval gates
Drag-and-drop visual flow builder with branching, retries, waitpoints, and subflows
Error handling with runs that resume from their last checkpoint instead of restarting
760+ open-source app connections (pieces) including Gmail, Slack, HubSpot, OpenAI, Notion
Tables for storing data that both flows and agents can read and write
MCP server connecting agents to Claude, Copilot, Cursor, Gemini CLI, Windsurf, and Zed
HTTP piece for any REST or GraphQL API with authentication and pagination
TypeScript code step for logic the visual builder can't express
Human approval gates before steps that touch money, customers, or production
Bring your own AI keys: Anthropic, OpenAI, AWS Bedrock, Google Gemini
Projects for isolating each team's or client's workspace
SSO via Okta or Entra with standard and custom roles
Audit logs streamed to your SIEM in real time
Secret managers keeping credentials in your own vault (e.g. HashiCorp Vault)
Visual drag-and-drop workflow builder with a visible execution path
Agent builder with skills, tools, and knowledge, configurable by chat or manually
Knowledge Pipeline for ingesting files, websites, online documents, and drives
Retrieval testing before a knowledge base is connected to agents or workflows
Multi-LLM support including OpenAI, Anthropic, Gemini, xAI, and Tongyi
Plugin Marketplace for model providers, tools, data sources, and MCP integrations
Publish apps as web apps, API endpoints, embeds, or MCP-compatible tools
Official difyctl CLI lets agents call Dify apps with a single command
Qubrid AI plugin for unified multi-model access via one API key (DeepSeek, Kimi, Qwen, MiniMax, GLM)
Asqav plugin produces verifiable, tamper-evident receipts for agent actions
Human-in-the-loop input nodes inside workflow logic
Observability with logs, feedback, annotations, latency, and usage data
Webhook, plugin, and schedule triggers to auto-start workflows
Self-hosted deployment via single-command Docker or Helm charts for Kubernetes
Creator Center and Template Marketplace for publishing and sharing workflow templates
Integrations
Slack
Gmail
HubSpot
OpenAI
Notion
Snowflake
QuickBooks
Stripe
Anthropic
Google Gemini
xAI
DeepSeek
Tongyi
Weaviate
Qdrant
GitHub

What real users say: Activepieces vs Dify

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Activepieces

62 mentions across 4 sources · 76% positive (averaged across 4 sources)

Hacker News, YouTube, Product Hunt, GitHub

What users praise

  • • True open-source license (MIT) allows free use in commercial apps
  • • Drag-and-drop builder is praised for being easy and intuitive
  • • Active and responsive team; feature requests implemented in a day
  • • Very competitive pricing compared to Zapier and n8n

What frustrates them

  • • Advanced features are gated behind paid tiers, limiting open-source claim
  • • Fewer integrations than rivals (700 vs n8n's 1000+)
  • • Community edition lacks some power features, pushing users to paid plans
  • • Some users find n8n's workflow capabilities more advanced for complex automation

Researched Aug 21, 2026

Dify

62 mentions across 5 sources · 54% positive — mixed (averaged across 5 sources)

Hacker News, YouTube, Stack Overflow, GitHub, Lemmy

What users praise

  • • Visual drag-and-drop builder speeds up AI workflow creation
  • • Multi-LLM support covers major providers like OpenAI, Anthropic, and DeepSeek
  • • Built-in RAG pipeline simplifies knowledge ingestion and retrieval
  • • Human-in-the-loop nodes allow manual review and control

What frustrates them

  • • Upgrade bugs have broken existing knowledge bases (e.g., 1.9.1→1.9.2)
  • • Supply chain incident (React2Shell) raises security concerns
  • • Complex workflow design can have a steep learning curve
  • • Confusion with n8n for automation use cases

Researched Aug 15, 2026

Frequently Asked Questions

Which is better, Activepieces or Dify?

The best choice between Activepieces and Dify depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Activepieces and Dify?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Activepieces or Dify?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Last reviewed: May 12, 2026