Dify vs LangFlow 2026 — Which LLM Platform Wins?
Bottom line: Dify (134k+ GitHub stars) is a full-stack AI platform with built-in RAG, chat UI, and multi-user support; Langflow (18k+ stars, DataStax-backed) is a visual LangChain interface charging $0.02/run on cloud. Dify wins for product teams; Langflow for LangChain engineers.
Quick Verdict
Choose Dify if...
- You're building for a team or customers
- You need advanced RAG and knowledge bases
- You don't use LangChain
- You want conversation analytics
- You need multi-language UI support
Choose Langflow if...
- You're already deep in the LangChain ecosystem
- You want to prototype LangChain flows visually
- You prefer DataStax cloud infrastructure
- Lower resource requirements matter
- You want MIT license (no EE restrictions)
What Is Langflow?
Langflow is an open-source visual builder for LangChain-based AI applications. It was acquired by DataStax in 2024, which brought commercial backing and a managed cloud offering. With Langflow, you build flows by connecting LangChain components — document loaders, embeddings, LLMs, memory — in a drag-and-drop canvas.
Langflow's cloud (via DataStax) charges $0.02 per flow run — a consumption-based model that can be cheaper than Dify Cloud for low-volume apps, but expensive at scale.
Full Feature Comparison
| Feature | Dify | Langflow |
|---|---|---|
| GitHub Stars | ★134k+ | 18k+ |
| Founded / Backing | 2023 / Independent | 2023 / DataStax |
| License | Apache 2.0 | MIT |
| Built On | Standalone platform | Built on LangChain |
| Primary Interface | Dashboard + workflow canvas | Visual flow editor |
| Min RAM | 4 GB | ★2 GB |
| Docker Setup | docker-compose (complex) | ★Single container (simple) |
| RAG / Knowledge Base | ★Advanced built-in | Via LangChain loaders |
| Multi-lingual UI | ★13+ languages | English only |
| Team Management | ★Yes (workspaces, roles) | Limited |
| Conversation Analytics | ★Yes | No |
| LangChain Integration | Via API only | ★Native (core dependency) |
| Cloud Pricing | $59/mo (Pro) | $0.02/run (DataStax Cloud) |
| Production Readiness | ★High | Medium |
★ indicates the stronger option for that feature
Key Differences
LangChain Dependency
This is the fundamental difference. Langflow is essentially a GUI for LangChain — every component maps to a LangChain class. This is great if you know LangChain, but creates tight coupling and means your flows are dependent on LangChain's API changes.
Dify is framework-agnostic. It connects directly to LLM provider APIs (OpenAI, Anthropic, Ollama, etc.) without LangChain. This makes it more approachable for non-Python developers and more stable as it doesn't inherit LangChain's breaking changes.
Production vs Prototyping
Dify for Production
- Role-based workspace access
- API key management per app
- Conversation logs and analytics
- Version control for prompts
- Embeddable widget for end users
- Usage monitoring and limits
Langflow for Prototyping
- Rapid flow experimentation
- Direct LangChain component access
- Export flows as JSON/Python
- Great for developer exploration
- DataStax cloud for easy deployment
Self-Hosting Complexity
Dify — 8 containers
nginx, api, worker, web,
db, redis, weaviate, sandboxMin: 4 GB RAM, 50 GB disk
Langflow — 2 containers
langflow, postgres
(or SQLite for dev)Min: 2 GB RAM, 10 GB disk
Community and Support
Frequently Asked Questions
What is the main difference between Dify and Langflow?
Langflow is built on top of LangChain and focuses on visual prototyping of LangChain pipelines. Dify is a standalone platform for building and deploying production AI applications with broader features including team management, knowledge bases and conversation analytics.
Is Langflow free to self-host?
Yes. Langflow is open-source (MIT license) and free to self-host. DataStax also offers Langflow Cloud with a free tier and usage-based pricing at $0.02 per run.
Which is better for non-LangChain users?
Dify. It is LLM-framework agnostic and connects directly to LLM provider APIs without requiring knowledge of LangChain. Langflow is most useful if you already work within the LangChain ecosystem.
Does Dify have a larger community than Langflow?
Yes. As of April 2026, Dify has over 134k GitHub stars vs Langflow's 18k+. Dify also has a more active Discord community and significantly more third-party tutorials available online.
When Dify Vs Langflow Genuinely Wins
Dify excels in specific scenarios where Langflow may not be the optimal choice:
- Resource-Constrained Environments: If you need to run on a shared 1GB VPS with another service, Dify's lower resource footprint allows for more efficient memory usage, making it a better fit.
- Existing LangChain Integrations: If your team is already using LangChain and you want to avoid rewriting integrations, Langflow provides a smoother transition without needing to adapt to a new framework.
- Advanced Analytics Needs: If your application requires detailed conversation analytics, Dify's built-in capabilities offer more comprehensive insights compared to Langflow's visual interface.
- Multi-User Support: If your project involves multiple users needing access to the same application, Dify's multi-user support is more robust, allowing for better collaboration.
Migration Path: Dify Vs Langflow to Dify
Transitioning from Langflow to Dify involves several considerations:
- Manual Rebuilding: Components built using Langflow's visual interface must be manually recreated in Dify. This includes reconfiguring document loaders and LLM integrations.
- Carry Over: Any custom code or logic implemented in LangChain can be reused in Dify, provided it adheres to Dify's API specifications.
- Expected Timeline: For a simple 3-flow project, migration may take 1-2 weeks. A complex 20-flow production setup could take 4-6 weeks, depending on the intricacies of the flows.
No community-maintained migration scripts currently exist, so expect to rely on manual processes.
Hosting Cost Comparison
| Platform | Minimum RAM Requirement | Cheapest VPS | Monthly Cost |
|---|---|---|---|
| Dify | 2GB | DigitalOcean (2GB Droplet) | $12 |
| Langflow | 1GB | Vultr (1GB Instance) | $5 |
Managed cloud options exist for both platforms. Dify offers a cloud service starting at $29/month, while Langflow's cloud charges $0.02 per flow run, which can become costly at scale.