Dify vs Langflow
Side by side, as alternatives to Zapier. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.
Also replaces Zapier: + n8n+ Huginn+ Activepieces+ Windmill
Cost and coverage
Price
$0 software; you run it
$0 software; you run it
Free (100 tasks per month, two-step Zaps); Professional from $19.99/month; Team from $69/month source ↗
App-to-app workflows
No: No
No: No
Confirmed: Yes
Scheduled automations
Partial: Partly
No: No
Confirmed: Yes
AI agent workflows
Partial: Partly
Partial: Partly
Confirmed: Yes
Webhooks
Partial: Partly
Partial: Partly
Confirmed: Yes
Jobs covered
3 of 4 jobs
2 of 4 jobs
All 4
Popularity and activity (from GitHub)
Stars
159,161Top
155,896
—
Gain this week
Unknown
Unknown
—
Signal
Building history
Building history
—
Commits / 4 wk
775Top
377
—
Latest release
1.17.1 · 2026-09-10
v1.12.7 · 2026-10-21Top
—
Commits / 12 wk
2,560
1,288
—
People committing / 12 mo
253+
158+
—
Issues opened / closed, 30 days
392 / 319
75 / 115
—
Facts, with sources on each project page
Runs on my machine?Differs
Confirmed: Self-hosted with Docker Compose on your machine or server; Dify Cloud also offered
Confirmed: Yes, as a desktop app, a local Python package or a Docker container you host
Hosted by the vendor
Code licenceDiffers
Partial: Dify Open Source License: Apache 2.0 with extra conditions (no multi-tenant service without permission; keep the logo and copyright in the frontend); not an OSI licence
Confirmed: MIT
—
Model weights licence
Confirmed: No separate model weights
Confirmed: No separate model weights
—
Commercial useDiffers
Partial: Commercial use allowed, but a multi-tenant service needs written permission and the web frontend's logo and copyright may not be removed
Confirmed: Allowed under MIT
—
Paid services needed?Differs
Partial: Not required with local models via the Ollama plugin; cloud model APIs, Dify Cloud and Dify Enterprise are optional
Partial: Not required with local models via Ollama; cloud model API keys are optional
Subscription
HardwareDiffers
Confirmed: Minimum 2 CPU cores and 4 GiB RAM; on macOS the docs ask for a Docker VM with 2 vCPUs and 8 GiB
Confirmed: Python package: dual-core CPU and 2 GB RAM minimum; multi-core CPU and 4 GB RAM recommended
—
Operating systemsDiffers
Confirmed: Docker on Linux, macOS 10.14+ and Windows (with WSL 2)
Confirmed: Desktop app for Windows and macOS (13+); Python package and Docker on Linux, macOS and Windows
—
Setup effortDiffers
Confirmed: Medium; clone the repo, copy .env and run docker compose up
Confirmed: Easy; download Langflow Desktop, or one uv pip command, or one docker run
—
Stars over time
Switch to Growth % to compare projects of different sizes fairly.
The chart appears after a few nightly checks.
Notes for a video or post
A plain summary with today's date and a link to the sources. Check each project page before you publish.
Want share images and a ready video description? Open a project's creator kit.
Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. langgenius/dify ↗langflow-ai/langflow ↗