How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; Jinba Flow has +7.8%.

How does pricing compare?

Dify: Freemium. Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales. Jinba Flow: Freemium, Contact for Pricing. Jinba Flow uses a freemium model plus custom enterprise pricing that scales with team size and usage. A free account lets you start building flows through chat immediately; paid tiers add priority support and enterprise plans include dedicated success managers and on-premises deployment.

What are alternatives to Dify and Jinba Flow?

Other tools in related categories include Zapier, n8n, MindStudio, Open WebUI, LlamaIndex.

Dify vs Jinba Flow — Traffic (819.69K vs 14.51K), Pricing & Verdict

Open AI Tools

Dify vs Jinba Flow — Traffic (819.69K vs 14.51K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Dify	Jinba Flow
Official Domain	dify.ai	jinba.io
Pricing Model	Freemium	Freemium, Contact for Pricing
Monthly Visits	819.69K (819,691)	14.51K (14,512)
MoM Traffic Delta	-144.26K (-15%)	+1.05K (+7.8%)
Primary Market & Share	🇨🇳 China (46.7%)	🇺🇸 United States (53.6%)
Direct Visits / mo	470.6K	3.25K
User Rating	4.8	4.3
Supported Platforms	Website	Website

Dify

Build, deploy, and govern production-ready agentic AI workflows

Workflow Studio

A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.

Agent Builder

Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.

Knowledge Pipeline

Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.

Plugin Marketplace and MCP

Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.