dify vs langflow
The two are close in size: 154.5k stars for dify, 154.3k for langflow. Over the days we have tracked them dify moved +3.6% and langflow +1.4%, so dify is growing faster right now.
dify leads on model freedom. langflow does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Integrated low-code workspace combining visual AI workflows, RAG pipelines, agent builders, and broad multi-provider model support that can be self-hosted.
- Stars
- 154.5k
- Tracked growth
- +3.6%
- Maturity
- ●●●●●
- Last commit
- 27m ago
- Language
- TypeScript
- License
- NOASSERTION
- Cost to run
- Free cloud sandbox (200 GPT-4 calls); self-hosted on your infra.
Provides a visual low-code flow builder with built-in API and MCP servers to turn workflows into deployable tools.
- Stars
- 154.3k
- Tracked growth
- +1.4%
- Maturity
- ●●●●●
- Last commit
- 10h ago
- Language
- Python
- License
- MIT
- Cost to run
- Bring your own API key or self-hosted
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | dify | langflow |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Diff/file only | ●●●●● Diff only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Prompt IDE & tools | ●●●●● Customizable code and UI |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable / local | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-key / any | ●●●●● Multiple providers |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Docker Compose quickstart | ●●●●● One-command start |
Which one to pick
Pick dify if…
Easy deployment — run a full-featured, visual LLM app and agent platform locally or in your VPC using Docker Compose (or use Dify Cloud for a sandbox with free GPT‑4 calls).
- Model freedom: Bring-your-key / any (5/5 against 3/5)
Pick langflow if…
Easy setup — run locally in one command or use the Desktop app to start building and deploying agents quickly.
What people want from each one
langgenius/dify
Hacker News: Dify, a visual workflow to build/test LLM applications drew 185 points and 38 comments.
langflow-ai/langflow
Questions people ask
Is dify better than langflow?
dify leads on model freedom. langflow does not take any axis by a clear margin. dify is worth picking when easy deployment — run a full-featured, visual LLM app and agent platform locally or in your VPC using Docker Compose (or use Dify Cloud for a sandbox with free GPT‑4 calls).
Which of dify and langflow keeps my code private?
dify: Self-hostable / local (5/5). langflow: Self-hostable (4/5).
What does each one cost to run?
dify: Free cloud sandbox (200 GPT-4 calls); self-hosted on your infra.. langflow: Bring your own API key or self-hosted.
Full profiles: langgenius/dify and langflow-ai/langflow. Everything else in Low-code builders.