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activepieces vs Langflow

AI Agent Comparison — side-by-side analysis

Comparison Summary

Langflow has a higher trust score (88.0 vs 72.4). Langflow leads in community adoption with 140,000 stars vs 21,271. Langflow offers more capabilities (5 vs 3).

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

MCP Server
Trust: 72.4 ★ 21.3k
Language: TypeScript
Author: activepieces
View Profile Source →

Langflow

Low-code app builder for RAG and multi-agent AI

OSS Repo
Trust: 88.0 ★ 140.0k
Language: Python
Author: langflow-ai
View Profile Source →

Visual Comparison

activepieces Langflow
Trust Score 72.4 vs 88.0
activepieces
72.4
Langflow
88.0
WINNER
GitHub Stars 21,271 vs 140,000
activepieces
21,271
Langflow
140,000
WINNER
Capabilities 3 vs 5
activepieces
3
Langflow
5
WINNER
Protocols 1 vs 1
activepieces
1
Langflow
1

Detailed Metrics

MetricactivepiecesLangflow
Trust Score72.488.0 WINNER
GitHub Stars21,271140,000 WINNER
TypeMCP ServerOSS Repo
LanguageTypeScriptPython
Authoractivepieceslangflow-ai
Capabilities35 WINNER
Protocols11
Installnpx -y activepiecespip install langflow

Capabilities

Shared Capabilities
None
Only in activepieces
automationcode-generationworkflow-automation
Only in Langflow
drag-dropmulti-agentno-coderagworkflow

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activepieces vs N8NLangflow vs N8Nactivepieces vs AutoGPTLangflow vs AutoGPTactivepieces vs OllamaLangflow vs Ollama