Dify vs Flowise
Side-by-side — pricing, strengths, tradeoffs, and fit.
Dify
Open-source platform for building and deploying AI applications with streamlined workflows.
Flowise
Drag & drop UI to build your customized LLM flow
At a glance
Open SourceFree Tier
● Established·From Freemium
Open SourceFree Tier
◌ Declining·From Freemium
Overview
One-liner
One-liner
Open-source platform for building and deploying AI applications with streamlined workflows.
One-liner
Drag & drop UI to build your customized LLM flow
Maturity
Maturity
EstablishedMaturity
DecliningOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableFree tier
✓ AvailableOpen source — free to use
Starts at
Starts at
Freemium
Starts at
Freemium
Model
Model
Flat rate
Model
Hybrid
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Teams looking to streamline their AI development workflows with an open-source solution
Projects requiring efficient model management and deployment capabilities
Developers who prefer self-hosted, customizable platforms over cloud services
✓ Best for
Developers and non-technical builders who want to visually compose RAG pipelines, chatbots, and multi-agent systems
Not ideal for
✕ Not for
Users seeking a fully managed service without the need for self-hosting
Teams that require real-time data processing or streaming capabilities
✕ Not for
Teams needing custom logic that goes beyond what the visual builder can express
Strengths
↑ Strengths
Intuitive interface for managing AI workflows and models
Streamlined production deployment capabilities
Open-source with a large community (129,904 stars on GitHub)
↑ Strengths
Visual flow builder
100+ integrations
RAG support
Multi-agent
Weaknesses
↓ Weaknesses
Limited integrations with non-Python ecosystems
Complex setup process for new projects
↓ Weaknesses
Limited integrations with other AI frameworks and tools
Performance issues under heavy load