Dify vs Huginn 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.

Difylanggenius/dify

Huginnhuginn/huginn

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

2 of 4 jobs

All 4

Popularity and activity (from GitHub)

Stars

159,161Top

50,087

155,896

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

775Top

377

—

Latest release

1.17.1 · 2026-09-10

v2026.10.14 · 2026-10-13

v1.12.7 · 2026-10-21Top

—

Commits / 12 wk

2,560

123

1,288

—

People committing / 12 mo

253+

158+

—

Issues opened / closed, 30 days

392 / 319

1 / 4

75 / 115

—

Facts, with sources on each project page

Runs on my machine?Differs

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

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

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

Hosted by the vendor

Code licenceDiffers

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 separate model weights

No model weights

No separate model weights

—

Commercial useDiffers

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

Allowed under MIT

—

Paid services needed?Differs

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

Not required with local models via Ollama; cloud model API keys are optional

Subscription

HardwareDiffers

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

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

—

Operating systemsDiffers

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

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

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

—

Setup effortDiffers

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

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.

Dify
Huginn
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.

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

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

- 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
- Langflow: 155,896 GitHub stars, 1,288 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: 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); Langflow Yes, as a desktop app, a local Python package or a Docker container you host
- Code licence: 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; Langflow MIT
- Model weights licence: Dify No separate model weights; Huginn No model weights; Langflow No separate model weights
- Commercial use: 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; Langflow Allowed under MIT
- Paid services needed?: 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; Langflow Not required with local models via Ollama; cloud model API keys are optional
- Hardware: 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; Langflow Python package: dual-core CPU and 2 GB RAM minimum; multi-core CPU and 4 GB RAM recommended
- Operating systems: 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; Langflow Desktop app for Windows and macOS (13+); Python package and Docker on Linux, macOS and Windows
- Setup effort: 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; 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. langgenius/dify ↗huginn/huginn ↗langflow-ai/langflow ↗

Dify vs Huginn vs Langflow

Stars over time

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