Keyboard Shortcuts

Focus search/
Go to Directoryg d
Go to Trendingg t
Go to Exploreg e
Go to Homeg h
Close modal / blur searchEsc
Show this help?
Press ? anytime to toggle this panel

Langflow vs awesome-llm-apps

AI Agent Comparison — side-by-side analysis

Comparison Summary

awesome-llm-apps has a higher trust score (91 vs 88). Langflow leads in community adoption with 140,000 stars vs 104,282. Langflow offers more capabilities (5 vs 0). Langflow supports more protocols (1 vs 0).

Langflow

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

OSS Repo
Trust: 88 ★ 140.0k
Language: Python
Author: langflow-ai
View Profile Source →

awesome-llm-apps

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Agent
Trust: 91 ★ 104.3k
Language: Python
Author: Shubhamsaboo
View Profile Source →

Visual Comparison

Langflow awesome-llm-apps
Trust Score 88 vs 91
Langflow
88
awesome-llm-apps
91
WINNER
GitHub Stars 140,000 vs 104,282
Langflow
140,000
WINNER
awesome-llm-apps
104,282
Capabilities 5 vs 0
Langflow
5
WINNER
awesome-llm-apps
0
Protocols 1 vs 0
Langflow
1
WINNER
awesome-llm-apps
0

Detailed Metrics

MetricLangflowawesome-llm-apps
Trust Score8891 WINNER
GitHub Stars140,000 WINNER104,282
TypeOSS RepoAgent
LanguagePythonPython
Authorlangflow-aiShubhamsaboo
Capabilities5 WINNER0
Protocols1 WINNER0
Installpip install langflowgit clone https://github.com/Shubhamsaboo/awesome-llm-apps

Capabilities

Shared Capabilities
None
Only in Langflow
drag-dropmulti-agentno-coderagworkflow
Only in awesome-llm-apps
None

Related Comparisons

Langflow vs n8nawesome-llm-apps vs n8nLangflow vs AutoGPTawesome-llm-apps vs AutoGPTLangflow vs Ollamaawesome-llm-apps vs Ollama