Describe your idea in chat and Lovable turns it into a working app or website
#1Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Morph Beta records 0 monthly visits with 0% growth and Freemium pricing.
Build production-ready AI data apps with Python and Markdown
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | dify.ai | morph-data.io |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 819.69K (819,691) | 0 (0) |
| MoM Traffic Delta | -144.26K (-15%) |
| 0 (0%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🌐 Global (—) |
|---|
| Direct Visits / mo | 470.6K | 0 |
|---|
| User Rating | 4.8 | 4.2 |
|---|
| Supported Platforms | Website | Website |
|---|

Build, deploy, and govern production-ready agentic AI workflows
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.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
Build production-ready AI data apps with Python and Markdown
Install with pip, run morph new to scaffold a project, then morph serve to open a live dev server — a working app in about three commands.
Annotate a Python function with @morph.func and give it an alias; reference that alias from a Markdown component to wire data straight into the UI.
Use built-in components and Markdown syntax for polished, flexible page designs without hand-writing any HTML or CSS.
Chain Python and SQL for advanced AI workflows, and extend the look and feel with custom CSS or your own React components.
Describe your idea in chat and Lovable turns it into a working app or website
#1
Build working apps, websites, and AI agents by describing them
Free / Open-sourceRun and build with open AI models locally or in the cloud
#3Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Build websites and apps by chatting with AI in your browser
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.

Ship live apps straight from your AI chat

Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.

An agentic analytics platform that turns questions into governed, trusted answers

SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.

Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
Describe your idea in chat and Lovable turns it into a working app or website
Build working apps, websites, and AI agents by describing them
Free / Open-sourceRun and build with open AI models locally or in the cloud
Describe an app in chat and ship it
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Build websites and apps by chatting with AI in your browser
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Ship live apps straight from your AI chat
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
An agentic analytics platform that turns questions into governed, trusted answers
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.