Head to head · Coding · updated Oct 17, 2026
Langflow vs Dify
Langflow scores 98 to Dify's 96 on public evidence for build AI agents (frameworks), and they rank #1 and #2 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.
Dify
Open-source LLMOps platform with a visual builder for agents, RAG pipelines, and workflows.
+ Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.
− Complex workflows get unwieldy in the visual canvas and version control is weak.
Side by side
public evidence| Langflow | Dify | |
|---|---|---|
| Evidence score / 100 | 98 | 96 |
| GitHub stars | 155,764 | 158,681 |
| Hacker News stories, 30d | 0 | 0 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 0 days ago | 0 days ago |
| Pricing | Open source · Free self-hosted | Open source · Self-host free; Cloud Professional $59/mo |
| Platforms | web, linux, mac, windows | web, linux |
| Maker | Langflow (IBM/DataStax) | LangGenius |
Which one?
Pick Langflow if
- you want the stronger public evidence (98 vs 96)
- you need it on mac, windows
Best for Python developers who want a visual canvas.
Pick Dify if
Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.
Best for teams shipping LLM apps without much code.