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.
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.
Side by side
public evidence| Langflow | LangChain | |
|---|---|---|
| Evidence score / 100 | 98 | 96 |
| GitHub stars | 155,764 | 147,959 |
| Hacker News stories, 30d | 0 | 4 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 0 days ago | 0 days ago |
| Pricing | Open source · Free self-hosted | Open source · Free; LangSmith observability has paid tiers |
| Platforms | web, linux, mac, windows | cli, api |
| Maker | Langflow (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.