Huginn vs n8n 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.

Huginnhuginn/huginn

n8nn8n-io/n8n

Langflowlangflow-ai/langflow

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

3 of 4 jobs

4 of 4 jobs

2 of 4 jobs

All 4

Popularity and activity (from GitHub)

Stars

50,087

208,256Top

155,896

—

Gain this week

755Top

Unknown

—

Signal

Building history

—

Commits / 4 wk

1,168Top

377

—

Latest release

v2026.10.14 · 2026-10-13

n8n@2.44.5 · 2026-10-21Top

v1.12.7 · 2026-10-21

—

Commits / 12 wk

123

4,771

1,288

—

People committing / 12 mo

219+

158+

—

Issues opened / closed, 30 days

1 / 4

171 / 232

75 / 115

—

Facts, with sources on each project page

Runs on my machine?Differs

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

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

Yes, as a desktop app, a local Python package or a Docker container you host

Hosted by the vendor

Code licenceDiffers

MIT

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

MIT

—

Model weights licenceDiffers

No model weights

No separate model weights

—

Commercial useDiffers

Yes, MIT code

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

Allowed under MIT

—

Paid services needed?Differs

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

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 Ollama; cloud model API keys are optional

Subscription

HardwareDiffers

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

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

Python package: dual-core CPU and 2 GB RAM minimum; multi-core CPU and 4 GB RAM recommended

—

Operating systemsDiffers

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

Docker on Windows, macOS and Linux

Desktop app for Windows and macOS (13+); Python package and Docker on Linux, macOS and Windows

—

Setup effortDiffers

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

Medium, Docker install script or docker run

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.

Huginn
n8n
Langflow

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.

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

Zapier: Free (100 tasks per month, two-step Zaps); Professional from $19.99/month; Team from $69/month
Huginn: free software; does 3 of 4 Zapier jobs
n8n: free software; does 4 of 4 Zapier jobs
Langflow: free software; does 2 of 4 Zapier jobs

- Huginn: 50,087 GitHub stars, +23 in the last 7 days, 123 commits in 12 weeks, licence MIT
- 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
- Langflow: 155,896 GitHub stars, 1,288 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: Huginn Self-hosted on your own server (Docker or manual install); n8n Self-hosted with Docker or npm; n8n Cloud also offered; Langflow Yes, as a desktop app, a local Python package or a Docker container you host
- Code licence: Huginn MIT; n8n Sustainable Use License (fair-code, source-available, not OSI); .ee files under n8n Enterprise License; Langflow MIT
- Model weights licence: Huginn No model weights; n8n No model weights; Langflow No separate model weights
- Commercial use: Huginn Yes, MIT code; n8n Only for your own internal business use; no reselling or offering n8n to others for a fee; Langflow Allowed under MIT
- Paid services needed?: Huginn None required; AI agents use your own OpenAI-compatible API if you choose; n8n None required; Enterprise License and n8n Cloud are optional paid extras; AI nodes use your own model provider keys; Langflow Not required with local models via Ollama; cloud model API keys are optional
- Hardware: Huginn 0.5 GB RAM + 0.5 GB swap minimum, 2 GB RAM recommended; dual core recommended; 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; Langflow Python package: dual-core CPU and 2 GB RAM minimum; multi-core CPU and 4 GB RAM recommended
- Operating systems: Huginn Linux (Docker images built on Ubuntu); other Unix incl. macOS possible; not Windows; n8n Docker on Windows, macOS and Linux; Langflow Desktop app for Windows and macOS (13+); Python package and Docker on Linux, macOS and Windows
- Setup effort: Huginn Medium, one docker run to try; Docker Compose with MySQL or PostgreSQL for production; n8n Medium, Docker install script or docker run; Langflow Easy; download Langflow Desktop, or one uv pip command, or one docker run

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. huginn/huginn ↗n8n-io/n8n ↗langflow-ai/langflow ↗

Huginn vs n8n vs Langflow

Stars over time

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