Dify vs LangChain
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Dify suits teams needing freemium free tier, agentic workflow focus, and 153,166 GitHub stars in current listing data. LangChain suits teams needing open-source access, javascript focus, and 144,745 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Dify | LangChain |
|---|---|---|
| GitHub Stars | 153.2K | 144.7K |
| Contributors | 457 | 467 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 953 | 416 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Dify if you need
- • Dify is the stronger pick when Agentic Workflow matters because that capability is listed only on its profile.
- • Dify shows broader GitHub adoption with 153,166 stars versus 144,745 for LangChain.
- • Dify is the cleaner fit if you specifically need Platform workflows from the catalog tags.
Choose LangChain if you need
- • LangChain stands out for Javascript workflows that are not listed for Dify.
- • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
- • LangChain has a larger visible contributor base (467 vs 457).
Meaningful differences
- • Pricing model: Dify is listed as freemium, while LangChain is listed as open-source.
- • Workflow emphasis: Dify highlights Python, while LangChain highlights Javascript.
- • GitHub adoption: Dify shows 153,166 stars versus 144,745 for LangChain.
- • Contributor count: Dify lists 457 contributors and LangChain lists 467.
Shared capabilities
- • Rag
Shared Tags
Only in Dify
Only in LangChain
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Dify
Dify is an open-source LLM app development platform that combines agentic AI workflow, RAG pipeline, agent capabilities, model management, and observability features. It lets you go from prototype to production quickly with a visual canvas for building complex AI workflows. Supports 100+ model providers and can be self-hosted or used via cloud.
View full listingAbout LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listing