Dify vs Langflow vs FastGPT
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Dify | Langflow |
|---|---|---|
| Pricing | freemium · from Sandbox $0 | freemium · from Open Source $0 |
| Best for | Teams building RAG-based customer support chatbots, Marketing teams automating content workflows | Rapidly prototyping AI agent workflows with a visual canvas, Building and deploying RAG applications with multi-vector retrieval |
| Standout features | Visual drag-and-drop workflow builder · Agent builder with tools, memory, and boundaries · Knowledge pipeline for file, website, and drive ingestion | Visual drag-and-drop flow builder · Python customization under the hood · Run single or multiple AI agents |
| Viability score | 81/100 | 81/100 |
| API | Yes | Yes |
Dify is the stronger pick for teams building rag-based customer support chatbots; Langflow fits better for rapidly prototyping ai agent workflows with a visual canvas.
Built from live tool data, last verified 2026-08-30.
Open-source platform for building and deploying agentic workflows and RAG pipelines with a visual builder.
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What real users say: Dify vs Langflow
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Dify
62 mentions across 5 sources · 54% positive — mixed (averaged across 5 sources)
Hacker News, YouTube, Stack Overflow, GitHub, Lemmy
What users praise
- • Visual drag-and-drop builder speeds up AI workflow creation
- • Multi-LLM support covers major providers like OpenAI, Anthropic, and DeepSeek
- • Built-in RAG pipeline simplifies knowledge ingestion and retrieval
- • Human-in-the-loop nodes allow manual review and control
What frustrates them
- • Upgrade bugs have broken existing knowledge bases (e.g., 1.9.1→1.9.2)
- • Supply chain incident (React2Shell) raises security concerns
- • Complex workflow design can have a steep learning curve
- • Confusion with n8n for automation use cases
Researched Aug 15, 2026
Langflow
65 mentions across 7 sources · 54% positive — mixed (averaged across 7 sources)
Reddit, Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy
What users praise
- • Visual drag-and-drop builder accelerates prototyping of AI workflows.
- • Deep Python integration allows code customization under the hood.
- • Huge active community: 152k GitHub stars and 979 open issues.
- • Desktop app offers offline development with all OSS features.
What frustrates them
- • Critical security flaws repeatedly exploited for ransomware attacks.
- • CISA added multiple CVEs to KEV, undermining production trust.
- • Bugs inherited from langchain-community cause node failures.
- • Async queries can be very slow, up to 30 seconds per request.
Researched Aug 5, 2026
Frequently Asked Questions
Which is better, Dify or Langflow?
The best choice between Dify and Langflow depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.
What are the main differences between Dify and Langflow?
The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.
Is there a free version of Dify or Langflow?
Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.
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Last reviewed: April 21, 2026