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Tools · Comparison

LangChain vs Make (Integromat) vs Zapier AI

All three are automation tools. Here is what separates them.

LangChainMake (Integromat)Zapier AI
What it isThe most widely used framework for building applications on language models, with tracing and evaluation alongside.Visual automation platform connecting apps and building complex workflows with AI assistance.Build and scale AI workflows and agents across 9,000+ apps with Zapier—the most connected AI orchestration platform. Trusted by 3 million+ businesses.
CategoryAutomationAutomationAutomation
PricingFreemium · Open source · LangSmith from $39/user/moFreemium · $9-$16/moFreemium · $19-$69/mo
How it billsPer seatFlat monthlyFlat monthly
Free tierYesYesYes
RatingNot yet rated4.4 from 3,200 reviews4.3 from 4,800 reviews
Features
  • Python and JavaScript libraries
  • LangGraph for stateful agents
  • LangSmith tracing and evaluation
  • Very wide integration coverage
  • Large community
  • Visual workflow builder
  • 1,500+ integrations
  • AI scenario creation
  • Conditional logic
  • Data transformation
  • Error handling
  • HTTP modules
  • Webhook support
  • Natural language automation
  • 7,000+ app connections
  • AI actions in workflows
  • Chatbots builder
  • Tables database
  • Conditional logic
  • Multi-step zaps
  • Team collaboration
What works
  • Enormous ecosystem and documentation
  • Observability tooling is genuinely good
  • Model-agnostic
  • Powerful visual builder
  • Complex workflow support
  • Great value
  • Better than Zapier for complexity
  • Active community
  • Massive app library
  • No-code setup
  • AI-powered creation
  • Reliable execution
  • Great documentation
What does not
  • Abstractions add indirection
  • API has churned across versions
  • Easy to over-engineer with
  • Steeper learning curve
  • Can be complex
  • Fewer integrations than Zapier
  • Execution time limits
  • Can be expensive
  • Task limits on plans
  • Complex workflows hard to debug
  • Some app limitations