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Decision comparison

Dify vs Flowise

Compare Dify’s managed platform with the responsibility of operating Flowise after its [announced sunset](https://flowiseai.com/sunset). Flowise’s homepage still displays Starter $35/month and Pro $65/month, but hosted availability and support are unverified. Its Apache 2.0 source remains available; evaluate a maintained fork rather than treating the displayed prices as a current service commitment. Compare current Dify plan terms separately against your deployment and governance requirements.

visual agent builders
Last Updated:
DiscontinuedStatus confirmed

Flowise is no longer available as an active product

FlowiseAI is winding down Flowise. Active feature development ceased and pull requests stopped being accepted on 29 July 2026; the GitHub repository was archived on 13 August 2026; and the core team's presence in Discord and GitHub concluded on 31 August 2026, the end-of-life date. npm packages and Docker images are marked deprecated. The source stays on GitHub under Apache 2.0, so a team already running Flowise can fork it and maintain its own build, which the vendor recommends. No first-party source states a shutdown date for the paid Flowise Cloud, so none is recorded here. Retain this listing as historical context.

Source

Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.

All 2 are visual agent builders.

Quick Comparison

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:
Dify Cloud: Sandbox is free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage). Professional is $59 per workspace per month or $590 per workspace per year (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage). Team is $159 per workspace per month or $1590 per workspace per year (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage). Prices exclude taxes. Enterprise is custom; contact sales. Community Edition is free to self-host under the Dify Open Source License. Verified 2026-10-05 against https://dify.ai/pricing.
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:
Dify Cloud: Sandbox is free (200 message credits, 1 workspace, 1 member, 5 apps, 50MB knowledge storage). Professional is $59 per workspace per month or $590 per workspace per year (5,000 message credits/month, 3 members, 50 apps, 5GB knowledge storage). Team is $159 per workspace per month or $1590 per workspace per year (10,000 message credits/month, 50 members, 200 apps, 20GB knowledge storage). Prices exclude taxes. Enterprise is custom; contact sales. Community Edition is free to self-host under the Dify Open Source License. Verified 2026-10-05 against https://dify.ai/pricing.

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:
Flowise Cloud plans on the homepage: Free $0/month (2 flows and assistants, 100 predictions/month, 5MB storage). Starter $35/month (unlimited flows and assistants, 10,000 predictions/month, 1GB storage, first month free). Pro $65/month (50,000 predictions/month, 10GB storage, 5 users + $15/user/month). Enterprise: no price, contact the team. The source code is Apache 2.0 licensed. The site says Flowise is being sunset: the GitHub repository was archived on August 10, 2026, with end of life on August 31, 2026. Verified 2026-10-05 against https://flowiseai.com/ and https://flowiseai.com/sunset.
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:
Flowise supports APIs, SDKs and embedded chat. Its announced sunset means hosted availability and support are unverified; evaluate a maintained fork for self-hosted deployment.
Pricing Model:
Flowise Cloud plans on the homepage: Free $0/month (2 flows and assistants, 100 predictions/month, 5MB storage). Starter $35/month (unlimited flows and assistants, 10,000 predictions/month, 1GB storage, first month free). Pro $65/month (50,000 predictions/month, 10GB storage, 5 users + $15/user/month). Enterprise: no price, contact the team. The source code is Apache 2.0 licensed. The site says Flowise is being sunset: the GitHub repository was archived on August 10, 2026, with end of life on August 31, 2026. Verified 2026-10-05 against https://flowiseai.com/ and https://flowiseai.com/sunset.

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.

MetricDifyFlowise
GitHub commits, 90d(Product adoption)2.4kNot available
GitHub stars(Product adoption)159,000+Not available
Search interest(Market interest)
1
0
Hacker News mentions, 90d(Community interest)
0
2
Hugging Face downloads(Developer adoption)0Not available
Hugging Face likes(Developer adoption)1Not available
Product Hunt comments(Community interest)
35
32
Product Hunt rating(Community interest)
4.7/5
4.8/5
Product Hunt reviews(Community interest)
7
4
Product Hunt votes(Community interest)
251
258
PyPI weekly downloads(Developer adoption)484Not available
Stack Overflow questions(Community interest)
2
18
Docker Hub pulls(Product adoption)Not available6.9M
Hugging Face downloads(Product adoption)Not available0
Hugging Face likes(Product adoption)Not available130
npm weekly downloads(Developer adoption)Not available1.8k

As of October 26, 2026 — updated weekly.

Health & risk evidence

Observed public-source checks for mapped package versions and repositories.

Dify

October 26, 2026

Package vulnerabilities

PyPI · dify-client@0.1.10

1 vulnerability

across 1 package

Repository security score

Not available

Flowise

October 26, 2026

Package vulnerabilities

npm · flowise@3.1.4

0 vulnerabilities

across 1 package

Repository security score

Not available

Interface Preview

Dify

Dify product interface

Flowise

Flowise product interface

Feature Comparison

Core Capabilities

Visual Workflow Builder

DifyCanvas editor with branching, loops, and conditionals
FlowiseDrag-and-drop node editor built on LangChain components

LLM Provider Support

Dify100+ providers including OpenAI, Anthropic, Ollama
FlowiseLangChain-supported models: OpenAI, Anthropic, HuggingFace, Replicate

RAG Pipeline

DifyBuilt-in knowledge base with configurable chunking and hybrid search
FlowiseComposable nodes: document loader + splitter + vector store + retrieval chain

Multi-Agent Orchestration

DifyNative agentic workflows with tool calling and parallel execution
FlowiseAgentflow for multi-agent coordination with distributed workflows

Custom Code Execution

DifyPython sandbox within workflows
FlowiseJavaScript function nodes within flows

Operations & Governance

Model Management

DifyCentralized configuration with cost tracking and usage analytics
FlowiseNo centralized management; configured per-node

Observability

DifyBuilt-in logging for token usage, latency, and error tracking
FlowiseBasic execution logs; requires external tools like LangSmith

Annotation & Feedback

DifyBuilt-in annotation queue for human review and quality scoring
FlowiseNo native annotation; requires external integration

Team Collaboration

DifyMulti-workspace RBAC: 3 to 50 members depending on plan
FlowiseHomepage displays Pro $65/month including 5 users, plus $15/user/month; Cloud availability unverified after sunset

Deployment & Integration

API Deployment

DifyAuto-generated REST API per app with API key auth
FlowiseAuto-generated REST API per chatflow with API key and OAuth

Self-Hosted Deployment

DifyDocker Compose or Kubernetes; requires PostgreSQL, Redis, vector DB
Flowisenpm install or Docker; minimal dependencies beyond Node.js

License

DifyApache 2.0
FlowiseApache 2.0

Marketplace / Templates

DifyOfficial app marketplace with community templates
FlowiseCommunity-shared chatflows via JSON import/export

Which to choose

Compare Dify’s managed platform with the responsibility of operating Flowise after its [announced sunset](https://flowiseai.com/sunset). Flowise’s homepage still displays Starter $35/month and Pro $65/month, but hosted availability and support are unverified. Its Apache 2.0 source remains available; evaluate a maintained fork rather than treating the displayed prices as a current service commitment. Compare current Dify plan terms separately against your deployment and governance requirements.

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:

Evaluate Flowise for visual prototyping only with a maintained fork and a team prepared to operate it. The announced sunset changes the buying decision; Cloud service and support are unverified. Hosting and model charges remain separate.

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:

Test a maintained Flowise fork against your required components, Agentflow orchestration and observability integrations. Do not assume upstream integrations or official support will continue after the announced sunset.

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?

Both products document self-hosted paths, but external model services can still receive requests and charge separately. Flowise’s source is Apache 2.0 licensed. After its announced sunset, plan a maintained fork, dependency updates and operations; self-hosting does not provide ongoing vendor support.

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?

Test export and import with your actual flows, credentials, integrations and target version. Flowise’s announced sunset means Cloud access and service continuity must be confirmed before planning migration. Do not assume a direct import preserves behavior or that a parallel Cloud run will remain available.

Which platform has better community support and ecosystem momentum?

Flowise’s sunset notice schedules the end of official core-team presence in Discord and GitHub for August 31, 2026. Verify any maintained fork and community support before relying on them. Assess Dify’s current release and support channels separately; historic community activity is not a support commitment.