AI Use Cases

Head to head · Coding · updated Oct 17, 2026

Langflow vs LangChain

Langflow scores 98 to LangChain's 96 on public evidence for build AI agents (frameworks), and they rank #1 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.

Langflow

Visual low-code builder for RAG and multi-agent flows, acquired by DataStax and now part of IBM.

+ Python-native components can be edited inline, so flows are not limited to built-in nodes.
− Several critical security vulnerabilities in 2025 made exposed instances risky.

98—
evidence / 100

Open Langflow ↗

LangChain

Framework of composable building blocks for LLM apps, with integrations for every model and vector store.

+ Largest integration catalogue of any framework, so almost any provider is one import away.
− Frequent breaking API changes and heavy abstractions make simple things feel over-engineered.

96—
evidence / 100

Open LangChain ↗

Side by side

public evidence
LangflowLangChain
Evidence score / 1009896
GitHub stars155,764147,959
Hacker News stories, 30d04
Release-feed mentions, 30d00
Last activity0 days ago0 days ago
PricingOpen source · Free self-hostedOpen source · Free; LangSmith observability has paid tiers
Platformsweb, linux, mac, windowscli, api
MakerLangflow (IBM/DataStax)LangChain

Which one?

Pick Langflow if

  • you want the stronger public evidence (98 vs 96)
  • you need it on linux, mac, web

Best for Python developers who want a visual canvas.

Pick LangChain if

  • you need it on api, cli

Best for teams that need many integrations quickly.

Where they compete

More comparisons