If you’re looking to build with large language models, the options can feel overwhelming. To help you navigate this fast-moving landscape, we’ve put Flowise, Dify, and LangChain side by side. Each of these open-source projects offers a different approach to creating AI-powered applications—from drag-and-drop workflows to developer-centric frameworks. Whether you’re a seasoned engineer or just starting out with no-code tools, this benchmark will give you a clear view of how these platforms stack up in terms of features, integrations, community, and more. Dive in and discover which solution might best fit your next AI project.
| Feature | Flowise | Dify | LangChain |
|---|---|---|---|
| Category | AI development platform | AI development platform | AI framework |
| Open Source | yes (Apache License 2.0) | yes (Dify Open Source License, Apache 2.0 based) | yes (Open source) |
| Core Approach | Visual low-code/no-code workflow builder and AI agent orchestration | Visual workflow builder, agentic AI, RAG pipelines, model management, prompt IDE | Code-first framework for LLM chains, agents, memory, and orchestration |
| Deployment Options | Self-hosted, cloud, Docker, Render, OCI, Replit | Cloud, self-hosted (Docker Compose, Kubernetes, AWS, Alibaba Cloud, Helm Charts, Terraform) | Python: pip install; JS/TS: npm install; any infrastructure |
| Integration Ecosystem | 100+ data sources, APIs, SDKs (Python, Typescript), vector DBs (Pinecone, Vectara), LangChain, OpenAI, HuggingFace, custom tools | Langfuse, Milvus, TiDB, Mem0, Brave Search, Alibaba Cloud, plugin marketplace | 600+ integrations: OpenAI, Anthropic, Google, Amazon Bedrock, HuggingFace, Pinecone, Weaviate, pgvector, Chroma, etc. |
| Main Features | Multi-agent orchestration, chatbots, RAG, tool calling, human-in-the-loop, execution tracing, observability, security controls (RBAC, SSO), templates marketplace, embedded chat widgets | Visual workflow builder, agentic AI, RAG pipeline, prompt IDE, model management, observability, API integration, knowledge base, plugin marketplace | Chains, agents, prompt templates, memory, callbacks, vector store integration, orchestration (LangGraph), observability (LangSmith) |
| Observability & Monitoring | Prometheus, OpenTelemetry, Langfuse integration, execution tracing | Built-in observability, Langfuse integration | Observability via LangSmith, callbacks, logging |
| Security & Role Management | RBAC, SSO, encrypted credentials, secret managers, rate limiting | Role management, multi-tenant, branding customization | Not explicit; depends on implementation |
| Supported Programming Languages | Node.js (backend), React (frontend), JS/Python SDK | Not specified (platform-based, no-code/low-code focus) | Python, JavaScript/TypeScript |
| LLM Model Support | OpenAI, HuggingFace, Pinecone, Vectara, LangChain, custom models | GPT, Mistral, Llama3, OpenAI API-compatible models, vLLM, local models | OpenAI, Anthropic, Google, Amazon Bedrock, HuggingFace, and many more |
| No-Code/Low-Code Experience | Drag & drop visual builder, low-code/no-code | Visual builder, no-code/low-code, prompt IDE | Code-first, developer-centric |
| API & SDK Access | REST API, SDKs for Python & Typescript, embeddable widgets | API access, plugin marketplace, integrations | Python & JS/TS SDKs, API interfaces |
| Scalability | Vertical/horizontal scaling, production-ready, supports cloud/on-prem, message queues & workers | Supports cloud scaling, Kubernetes, multi-tenant, production-ready | Scalable by design, depends on hosting & orchestration |
| Community & Adoption | Active open-source community, 42,000+ GitHub stars (2025), trending, tutorials, Discord | GitHub (70,000+ stars), Discord, Twitter/X, NVIDIA incubator, global developer base | Largest GenAI developer community, 100k+ GitHub stars, 1M+ practitioners, global adoption |
| Documentation & Learning | Comprehensive docs, API docs (Swagger UI), guides, community support | Yes, documentation, plugin marketplace, community | Comprehensive docs, tutorials, how-to guides, API references, community forum |
| Pricing | Free tier, paid plans for teams and enterprise | Free for students/educators, cloud/self-hosted plans, AWS Marketplace, free GPT-4 sandbox | Free and open source |
| Main Use Cases | Conversational assistants, chatbots, project bots, career coaching, HR/finance/customer support LLM apps | Chatbots, document assistants, content generation, agent workflows, enterprise AI apps, data processing | Chatbots, semantic search, RAG, question-answering, summarization, multi-agent systems, custom LLM-powered apps |
| Target Users | Developers, teams, enterprises, no-code/low-code users, AI enthusiasts | Developers, enterprise teams, students, educators | Developers, enterprises, startups, AI engineers |
| Notable Users / Adoption | Used by teams globally, enterprises, trending on GitHub | Thousands of developers, enterprise teams, students, educators | Klarna, LinkedIn, Uber, GitLab, Trellix, global enterprises and startups |
| Notable Achievements | Acquired by Workday in 2025; powering enterprise AI agent development | 2nd most popular LLM tool on GitHub, NVIDIA incubator member | Pioneered standardized LLM interfaces, most popular GenAI framework |
| Website | https://flowiseai.com | Not specified | https://www.langchain.com |
| GitHub | https://github.com/FlowiseAI/Flowise | Not specified | https://github.com/hwchase17/langchain |
Which One Should You Choose?
Still unsure? Here’s a quick guide to help you pick the best fit:
- Choose Flowise if: You want a visual, low-code platform to rapidly build and deploy AI agents or chatbots, with strong security, team features, and a wide integration ecosystem. Ideal if you’re looking for a blend of no-code usability and developer extensibility—especially for enterprise or production environments.
- Choose Dify if: You prefer a visual workflow builder focused on agentic AI, RAG pipelines, and model management, with cloud and self-hosting options. Dify stands out for students, educators, and teams who want a streamlined platform with a plugin marketplace and built-in observability.
- Choose LangChain if: You’re a developer or technical team looking for maximum flexibility, code-first workflows, and the largest selection of integrations. LangChain is the go-to for building custom LLM applications, multi-agent systems, or anything that needs fine-grained control and community support.
Each tool is mature and open source, so your choice mostly comes down to your technical comfort level, preferred workflow (visual vs. code), and your target use case.
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