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Langflow
Compared to GitHub Spark
Langflow vs GitHub Spark
Comparing the features of Langflow to GitHub Spark
Feature
Langflow
GitHub Spark
Capability Features
Agent Orchestration
Agentic Application Support
AI-Powered App Generation
API Key Management
Automatic History
Cloud Hosting Option
Code View and Edit Option
Collaboration and Sharing
Control Complexity
Custom Components
Deployment-Free Hosting
Drag and Drop Builder
Enterprise-Grade Cloud
Flow as an API
Integrated Model Prompting
Live Previews
LLM Support
Low-Code Development
Managed Runtime Environment
Model Parameter Tuning
Model Selection
Claude Sonnet 3.5
GPT-4o
o1-preview
o1-mini
Natural Language Editor
No Coding Required
Open Source
OSS and Cloud Parity
Persistent Data Storage
Prebuilt Flows Library
Public Preview
PWA-Enabled Dashboard
Python Backend
Python Customization
RAG Application Support
Rapid Iteration
Read and Write Permissions
read-only
read-write
Reusable Components
Revision Variants
Self-Hosting Option
Share and Collaborate
Swap and Compare Models
Themable Design System
Vector Database Support
Visual Flow Comparison
Visual State Flows
Integration Features
Hundreds of Integrations
Airbyte
Anthropic
Azure
Bing
Composio
Confluence
Couchbase
Evernote
Github
Glean
Gmail
Google Cloud
Google Drive
Groq
Supa
HuggingFace
Langchain
Meta
Reddis
Milvus
Mistral
MongoDB
Notion
NVIDIA
Ollama
Perplexity
Weaviate
Serper
Qdrant
Serp API
Slack
Datastax
Amazon Bedrock
Tavily
Upstash
Vectara
Wikipedia
Wolfram Alpha
Yahoo! Finance
Zap
MeriTalk
Pinecone
Cassandra
Unstructured
OpenAI
Crew AI
Web and Mobile Support
Desktop
Tablet
Mobile
Limitation Features
File Storage and Vector Search (Planned)
Public Gallery (Planned)
Semantic Merge (Planned)
Third-Party Service Integration
Waitlist Required
Pricing Features
Free Tier