Dify vs Langflow
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Dify suits teams needing freemium free tier, typescript focus, and 153,166 GitHub stars in current listing data. Langflow suits teams needing open-source access, multi agent focus, and 153,543 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 | Langflow |
|---|---|---|
| GitHub Stars | 153.2K | 153.5K |
| Contributors | 457 | 351 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 953 | 968 |
| 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 stands out for Typescript workflows that are not listed for Langflow.
- • Dify is the stronger pick when Agentic Workflow matters because that capability is listed only on its profile.
- • Dify has a larger visible contributor base (457 vs 351).
Choose Langflow if you need
- • Langflow is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 153,166 for Dify.
- • Langflow is the cleaner fit if you specifically need No Code workflows from the catalog tags.
Meaningful differences
- • Pricing model: Dify is listed as freemium, while Langflow is listed as open-source.
- • Workflow emphasis: Dify highlights Typescript, while Langflow highlights Python.
- • GitHub adoption: Dify shows 153,166 stars versus 153,543 for Langflow.
- • Contributor count: Dify lists 457 contributors and Langflow lists 351.
Shared capabilities
- • Visual Builder
- • Rag
- • Multi Agent
- • Open Source
Shared Tags
Only in Dify
Only in Langflow
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 Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listing