Decision comparison
Dify vs Flowise
Dify is the production-grade LLMOps platform for teams needing model management, observability, and governance. Its Cloud Professional plan costs $59 per workspace monthly and includes 5,000 message credits, three members, 50 apps, and 5GB knowledge storage. Flowise is the lightweight, developer-friendly visual builder for rapid prototyping with LangChain ecosystem compatibility, offering a $35/month Starter plan with 10,000 predictions. Choose Dify when centralized platform controls and managed deployment matter; choose Flowise when modular visual composition and LangChain-oriented experimentation are the priority.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
Applies to: Choosing between two products of the same kind for one job.
All 2 are visual agent builders.
Quick Comparison
| Decision factor | Dify | Flowise |
|---|---|---|
| Best For | Production LLMOps with model management, observability, and team governance; supports collaborative agentic workflows, RAG pipelines, and AI applications from prototype through production. | Rapid prototyping with drag-and-drop LangChain/LlamaIndex visual builder; suitable for modular agentic systems ranging from simple compositional workflows to autonomous multi-agent applications. |
| Pricing | Sandbox $0 free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage); Professional $59/month per workspace (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage); Team $159/month per workspace (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage); Enterprise custom pricing; Self-hosted Community Edition free and open source (Apache 2.0); Annual billing saves ~17% | Self-hosted: Free (open source, MIT license). FlowiseAI Cloud Free: $0/month, 2 flows and assistants, 100 predictions/month, 5MB storage. FlowiseAI Cloud Starter: $35/month, unlimited flows and assistants, 10,000 predictions/month, 1GB storage. FlowiseAI Cloud Pro: $65/month, 50,000 predictions/month, 10GB storage, 5+ users at $15/user/month additional. Enterprise: contact for pricing. |
| Visual Workflow Builder | Canvas editor with branching, loops, and conditionals for building agentic workflows and RAG pipelines in a collaborative workspace. | Drag-and-drop node editor built on LangChain components, with Chatflow for single-agent assistants and Agentflow for coordinated multi-agent workflow orchestration. |
| LLM Provider Support | 100+ providers including OpenAI, Anthropic, Ollama; Professional credits support trying OpenAI, Anthropic, Gemini, xAI, and Tongyi models before using your own API key. | LangChain-supported models: OpenAI, Anthropic, HuggingFace, Replicate; chat assistants also support tool calling and knowledge retrieval (RAG) from various data sources. |
| Deployment Options | Deploy applications on Dify Cloud, private VPC infrastructure, or self-hosted Community Edition, supporting teams that require private control alongside managed deployment. | Deploy and scale AI applications through FlowiseAI Cloud or on-premises infrastructure, with enterprise-grade production support and API, SDK, and embedded-chat integration options. |
| Pricing Model | Sandbox $0 free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage); Professional $59/month per workspace (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage); Team $159/month per workspace (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage); Enterprise custom pricing; Self-hosted Community Edition free and open source (Apache 2.0); Annual billing saves ~17% | Self-hosted: Free (open source, MIT license). FlowiseAI Cloud Free: $0/month, 2 flows and assistants, 100 predictions/month, 5MB storage. FlowiseAI Cloud Starter: $35/month, unlimited flows and assistants, 10,000 predictions/month, 1GB storage. FlowiseAI Cloud Pro: $65/month, 50,000 predictions/month, 10GB storage, 5+ users at $15/user/month additional. Enterprise: contact for pricing. |
Dify
- Best For:
- Production LLMOps with model management, observability, and team governance; supports collaborative agentic workflows, RAG pipelines, and AI applications from prototype through production.
- Pricing:
- Sandbox $0 free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage); Professional $59/month per workspace (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage); Team $159/month per workspace (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage); Enterprise custom pricing; Self-hosted Community Edition free and open source (Apache 2.0); Annual billing saves ~17%
- Visual Workflow Builder:
- Canvas editor with branching, loops, and conditionals for building agentic workflows and RAG pipelines in a collaborative workspace.
- LLM Provider Support:
- 100+ providers including OpenAI, Anthropic, Ollama; Professional credits support trying OpenAI, Anthropic, Gemini, xAI, and Tongyi models before using your own API key.
- Deployment Options:
- Deploy applications on Dify Cloud, private VPC infrastructure, or self-hosted Community Edition, supporting teams that require private control alongside managed deployment.
- Pricing Model:
- Sandbox $0 free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage); Professional $59/month per workspace (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage); Team $159/month per workspace (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage); Enterprise custom pricing; Self-hosted Community Edition free and open source (Apache 2.0); Annual billing saves ~17%
Flowise
- Best For:
- Rapid prototyping with drag-and-drop LangChain/LlamaIndex visual builder; suitable for modular agentic systems ranging from simple compositional workflows to autonomous multi-agent applications.
- Pricing:
- Self-hosted: Free (open source, MIT license). FlowiseAI Cloud Free: $0/month, 2 flows and assistants, 100 predictions/month, 5MB storage. FlowiseAI Cloud Starter: $35/month, unlimited flows and assistants, 10,000 predictions/month, 1GB storage. FlowiseAI Cloud Pro: $65/month, 50,000 predictions/month, 10GB storage, 5+ users at $15/user/month additional. Enterprise: contact for pricing.
- Visual Workflow Builder:
- Drag-and-drop node editor built on LangChain components, with Chatflow for single-agent assistants and Agentflow for coordinated multi-agent workflow orchestration.
- LLM Provider Support:
- LangChain-supported models: OpenAI, Anthropic, HuggingFace, Replicate; chat assistants also support tool calling and knowledge retrieval (RAG) from various data sources.
- Deployment Options:
- Deploy and scale AI applications through FlowiseAI Cloud or on-premises infrastructure, with enterprise-grade production support and API, SDK, and embedded-chat integration options.
- Pricing Model:
- Self-hosted: Free (open source, MIT license). FlowiseAI Cloud Free: $0/month, 2 flows and assistants, 100 predictions/month, 5MB storage. FlowiseAI Cloud Starter: $35/month, unlimited flows and assistants, 10,000 predictions/month, 1GB storage. FlowiseAI Cloud Pro: $65/month, 50,000 predictions/month, 10GB storage, 5+ users at $15/user/month additional. Enterprise: contact for pricing.
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Dify | Flowise |
|---|---|---|
| GitHub commits, 90d(Product adoption) | 2.2k | Not available |
| GitHub stars(Product adoption) | 155,000+ | Not available |
| Search interest(Market interest) | 1 | 0 |
| Hacker News mentions, 90d(Community interest) | 2 | 2 |
| Hugging Face downloads(Developer adoption) | 0 | Not available |
| Hugging Face likes(Developer adoption) | 1 | Not available |
| PyPI weekly downloads(Developer adoption) | 3.5k | Not available |
| Stack Overflow questions(Community interest) | 2 | 18 |
| Docker Hub pulls(Product adoption) | Not available | 6.9M |
| Hugging Face downloads(Product adoption) | Not available | 0 |
| Hugging Face likes(Product adoption) | Not available | 130 |
| npm weekly downloads(Developer adoption) | Not available | 1.8k |
| Product Hunt comments(Community interest) | Not available | 32 |
| Product Hunt rating(Community interest) | Not available | 4.8/5 |
| Product Hunt reviews(Community interest) | Not available | 4 |
| Product Hunt votes(Community interest) | Not available | 258 |
As of September 14, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
Dify
September 14, 2026Package vulnerabilities
PyPI · dify-client@0.1.10
1 vulnerability
across 1 package
Repository security score
Not available
Flowise
September 14, 2026Package vulnerabilities
npm · flowise@3.1.4
0 vulnerabilities
across 1 package
Repository security score
Not available
Interface Preview
Flowise
Feature Comparison
| Feature | Dify | Flowise |
|---|---|---|
| Core Capabilities | ||
| Visual Workflow Builder | Canvas editor with branching, loops, and conditionals | Drag-and-drop node editor built on LangChain components |
| LLM Provider Support | 100+ providers including OpenAI, Anthropic, Ollama | LangChain-supported models: OpenAI, Anthropic, HuggingFace, Replicate |
| RAG Pipeline | Built-in knowledge base with configurable chunking and hybrid search | Composable nodes: document loader + splitter + vector store + retrieval chain |
| Multi-Agent Orchestration | Native agentic workflows with tool calling and parallel execution | Agentflow for multi-agent coordination with distributed workflows |
| Custom Code Execution | Python sandbox within workflows | JavaScript function nodes within flows |
| Operations & Governance | ||
| Model Management | Centralized configuration with cost tracking and usage analytics | No centralized management; configured per-node |
| Observability | Built-in logging for token usage, latency, and error tracking | Basic execution logs; requires external tools like LangSmith |
| Annotation & Feedback | Built-in annotation queue for human review and quality scoring | No native annotation; requires external integration |
| Team Collaboration | Multi-workspace RBAC: 3 to 50 members depending on plan | Cloud Pro: 5+ users at a vendor-specific amount/month; self-hosted unlimited |
| Deployment & Integration | ||
| API Deployment | Auto-generated REST API per app with API key auth | Auto-generated REST API per chatflow with API key and OAuth |
| Self-Hosted Deployment | Docker Compose or Kubernetes; requires PostgreSQL, Redis, vector DB | npm install or Docker; minimal dependencies beyond Node.js |
| License | Apache 2.0 | MIT |
| Marketplace / Templates | Official app marketplace with community templates | Community-shared chatflows via JSON import/export |
Core Capabilities
Visual Workflow Builder
LLM Provider Support
RAG Pipeline
Multi-Agent Orchestration
Custom Code Execution
Operations & Governance
Model Management
Observability
Annotation & Feedback
Team Collaboration
Deployment & Integration
API Deployment
Self-Hosted Deployment
License
Marketplace / Templates
Which to choose
Dify is the production-grade LLMOps platform for teams needing model management, observability, and governance. Its Cloud Professional plan costs $59 per workspace monthly and includes 5,000 message credits, three members, 50 apps, and 5GB knowledge storage. Flowise is the lightweight, developer-friendly visual builder for rapid prototyping with LangChain ecosystem compatibility, offering a $35/month Starter plan with 10,000 predictions. Choose Dify when centralized platform controls and managed deployment matter; choose Flowise when modular visual composition and LangChain-oriented experimentation are the priority.
Best-fit scenarios
Choose Dify if:
Choose Dify for teams of 5+ members managing multiple AI applications in production, where centralized model management, observability dashboards, and RBAC workspace governance justify the $59–$159 per-workspace monthly Cloud cost. Team provides 50 members, 200 apps, 20GB knowledge storage, and 10,000 monthly message credits.
Choose Flowise if:
Choose Flowise for solo developers or small teams prioritizing rapid prototyping, LangChain ecosystem compatibility, and cost efficiency. The $35/month Starter plan includes unlimited flows and assistants, 10,000 predictions/month, and 1GB storage; self-hosting is MIT-licensed and free.
Choose Dify if:
Choose Dify when you need built-in annotation, human-in-the-loop feedback loops, and structured quality improvement workflows for production RAG applications. Its platform is designed to develop, deploy, and manage autonomous agents and RAG pipelines across cloud, VPC, or self-hosted environments.
Choose Flowise if:
Choose Flowise when you need maximum component flexibility—its LangChain foundation provides 300+ integrations including vector stores, document loaders, and memory systems that update with the LangChain ecosystem. Use Agentflow for coordinated multi-agent orchestration and execution traces with Prometheus or OpenTelemetry support.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Can Dify and Flowise both run entirely self-hosted without cloud dependencies?
Yes, both platforms offer fully self-hosted deployment with no mandatory cloud connectivity. Dify requires Docker Compose or Kubernetes with PostgreSQL, Redis, and a vector database. Flowise runs with npm install or Docker with minimal dependencies. Dify is licensed under the Dify Open Source License, based on Apache 2.0 with additional conditions; Flowise is MIT licensed.
How do Dify and Flowise compare for building RAG applications?
Dify provides a managed knowledge base with built-in document ingestion and hybrid search. Flowise uses composable LangChain nodes for document loading, splitting, vector storage, and retrieval — more flexible but requiring more configuration.
What happens if I outgrow cloud plans — is migration to self-hosted straightforward?
Flowise cloud flows export as JSON and import directly into self-hosted instances. Dify migration is more involved due to different database schemas between cloud and self-hosted versions, requiring re-upload of knowledge base documents.
Which platform has better community support and ecosystem momentum?
Dify has strong GitHub traction with bi-weekly releases and an official marketplace. Flowise benefits from the extensive LangChain ecosystem where community integrations are automatically available. Both have active Discord communities.