DeepYard

LangChain vs Langflow

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

LangChain suits teams needing open-source access, typescript focus, and 144,745 GitHub stars in current listing data. Langflow suits teams needing open-source access, visual builder 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
L

LangChain

Build context-aware reasoning applications with LLMs

OSSFree
144.7K850.0K/wtoday467
Visit GitHub
L

Langflow

Visual framework for building and deploying AI agents — 145K+ stars

OSSFree
153.5Ktoday351
Visit GitHub
MetricLangChainLangflow
GitHub Stars144.7K153.5K
Contributors467351
Last CommitAug 22, 2026Aug 22, 2026
Open Issues416968
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose LangChain if you need

  • • LangChain stands out for Typescript workflows that are not listed for Langflow.
  • • 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 351).

Choose Langflow if you need

  • • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
  • • Langflow shows broader GitHub adoption with 153,543 stars versus 144,745 for LangChain.
  • • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.

Meaningful differences

  • • Workflow emphasis: LangChain highlights Typescript, while Langflow highlights Python.
  • • GitHub adoption: LangChain shows 144,745 stars versus 153,543 for Langflow.
  • • Contributor count: LangChain lists 467 contributors and Langflow lists 351.

Shared capabilities

  • • Rag
  • • Python

Shared Tags

ragpython

Only in LangChain

llmagentschainstypescriptorchestration

Only in Langflow

visual-builderno-codemulti-agentopen-source

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.

Source links

Manifest content date: 2026-08-21

About 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.

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About 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.

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