n8n vs Dify vs Huginn

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.

n8nn8n-io/n8n

Difylanggenius/dify

Huginnhuginn/huginn

Zapierpaid product

Cost and coverage

Price

$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

Partly

Yes

Scheduled automations

Partly

Yes

AI agent workflows

Partly

Yes

Webhooks

Partly

Yes

Jobs covered

4 of 4 jobs

3 of 4 jobs

All 4

Popularity and activity (from GitHub)

Stars

208,256Top

159,161

50,087

—

Gain this week

755Top

Unknown

—

Signal

Building history

—

Commits / 4 wk

1,168Top

775

—

Latest release

n8n@2.44.5 · 2026-10-21Top

1.17.1 · 2026-09-10

v2026.10.14 · 2026-10-13

—

Commits / 12 wk

4,771

2,560

123

—

People committing / 12 mo

219+

253+

—

Issues opened / closed, 30 days

171 / 232

392 / 319

1 / 4

—

Facts, with sources on each project page

Runs on my machine?Differs

Self-hosted with Docker or npm; n8n Cloud also offered

Self-hosted with Docker Compose on your machine or server; Dify Cloud also offered

Self-hosted on your own server (Docker or manual install)

Hosted by the vendor

Code licenceDiffers

Sustainable Use License (fair-code, source-available, not OSI); .ee files under n8n Enterprise License

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

MIT

—

Model weights licenceDiffers

No model weights

No separate model weights

No model weights

—

Commercial useDiffers

Only for your own internal business use; no reselling or offering n8n to others for a fee

Commercial use allowed, but a multi-tenant service needs written permission and the web frontend's logo and copyright may not be removed

Yes, MIT code

—

Paid services needed?Differs

None required; Enterprise License and n8n Cloud are optional paid extras; AI nodes use your own model provider keys

Not required with local models via the Ollama plugin; cloud model APIs, Dify Cloud and Dify Enterprise are optional

None required; AI agents use your own OpenAI-compatible API if you choose

Subscription

HardwareDiffers

Illustrative sizing from n8n Cloud: 320 MB to 2 GB memory, 512 MB to 4 GB SSD for the database; not CPU-intensive, so small instances suffice

Minimum 2 CPU cores and 4 GiB RAM; on macOS the docs ask for a Docker VM with 2 vCPUs and 8 GiB

0.5 GB RAM + 0.5 GB swap minimum, 2 GB RAM recommended; dual core recommended

—

Operating systemsDiffers

Docker on Windows, macOS and Linux

Docker on Linux, macOS 10.14+ and Windows (with WSL 2)

Linux (Docker images built on Ubuntu); other Unix incl. macOS possible; not Windows

—

Setup effortDiffers

Medium, Docker install script or docker run

Medium; clone the repo, copy .env and run docker compose up

Medium, one docker run to try; Docker Compose with MySQL or PostgreSQL for production

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

n8n
Dify
Huginn

Focus a point, use arrow keys, or tap for its value.

Tracked daily since 15 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.

Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.

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.

n8n vs Dify vs Huginn (as alternatives to Zapier)
Figures from RepoQuarry, 22 Oct 2026. Sources: https://repoquarry.dev/compare?ids=n8n,dify,huginn&product=zapier

Zapier: Free (100 tasks per month, two-step Zaps); Professional from $19.99/month; Team from $69/month
n8n: free software; does 4 of 4 Zapier jobs
Dify: free software; does 3 of 4 Zapier jobs
Huginn: free software; does 3 of 4 Zapier jobs

- n8n: 208,256 GitHub stars, +755 in the last 7 days, 4,771 commits in 12 weeks, licence Sustainable Use License (fair-code, source-available, not OSI); .ee files under n8n Enterprise License
- Dify: 159,161 GitHub stars, 2,560 commits in 12 weeks, licence 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
- Huginn: 50,087 GitHub stars, +23 in the last 7 days, 123 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: n8n Self-hosted with Docker or npm; n8n Cloud also offered; Dify Self-hosted with Docker Compose on your machine or server; Dify Cloud also offered; Huginn Self-hosted on your own server (Docker or manual install)
- Code licence: n8n Sustainable Use License (fair-code, source-available, not OSI); .ee files under n8n Enterprise License; Dify 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; Huginn MIT
- Model weights licence: n8n No model weights; Dify No separate model weights; Huginn No model weights
- Commercial use: n8n Only for your own internal business use; no reselling or offering n8n to others for a fee; Dify Commercial use allowed, but a multi-tenant service needs written permission and the web frontend's logo and copyright may not be removed; Huginn Yes, MIT code
- Paid services needed?: n8n None required; Enterprise License and n8n Cloud are optional paid extras; AI nodes use your own model provider keys; Dify Not required with local models via the Ollama plugin; cloud model APIs, Dify Cloud and Dify Enterprise are optional; Huginn None required; AI agents use your own OpenAI-compatible API if you choose
- Hardware: n8n Illustrative sizing from n8n Cloud: 320 MB to 2 GB memory, 512 MB to 4 GB SSD for the database; not CPU-intensive, so small instances suffice; Dify Minimum 2 CPU cores and 4 GiB RAM; on macOS the docs ask for a Docker VM with 2 vCPUs and 8 GiB; Huginn 0.5 GB RAM + 0.5 GB swap minimum, 2 GB RAM recommended; dual core recommended
- Operating systems: n8n Docker on Windows, macOS and Linux; Dify Docker on Linux, macOS 10.14+ and Windows (with WSL 2); Huginn Linux (Docker images built on Ubuntu); other Unix incl. macOS possible; not Windows
- Setup effort: n8n Medium, Docker install script or docker run; Dify Medium; clone the repo, copy .env and run docker compose up; Huginn Medium, one docker run to try; Docker Compose with MySQL or PostgreSQL for production

Stars show popularity, not quality. Check each project page before publishing.

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. n8n-io/n8n ↗langgenius/dify ↗huginn/huginn ↗

n8n vs Dify vs Huginn

Stars over time

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