Hysen Labs
Open-source project
Zie619/n8n-workflows avatar
Zie619

n8n-workflows

GitHub describes it as all of the workflows of n8n i could find (also from the site itself). The repository metadata lists Python as its primary language. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

56,031 stars7,482 forksPythonMIT
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DEEP OPEN-SOURCE ANALYSIS

Zie619/n8n-workflows: Latest Updates (November 2025)

GitHub describes it as all of the workflows of n8n i could find (also from the site itself). The repository metadata lists Python as its primary language. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

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DEEP OPEN-SOURCE ANALYSIS

Repository scope

GitHub describes it as all of the workflows of n8n i could find (also from the site itself). The repository metadata lists Python as its primary language. The metadata lists the MIT license. The README describes the project this way: - Enhanced Security : Full security audit completed, all CVEs resolved - Docker Support : Multi-platform builds for linux/amd64 and linux/arm64 - GitHub Pages : Live searchable interface at zie619.github.io/n8n-workflows - Performance : 100x faster search with SQLite FTS5 integration - Modern UI : Completely redesigned interface with dark/light mode

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DEEP OPEN-SOURCE ANALYSIS

Use Online (No Installation)

The README section "Use Online (No Installation)" states: Visit zie619.github.io/n8n-workflows for instant access to: - Smart Search , Find workflows instantly - 15+ Categories , Browse by use case - Mobile Ready , Works on any device - Direct Downloads , Get workflow JSONs instantly

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DEEP OPEN-SOURCE ANALYSIS

By The Numbers

The README section "By The Numbers" states: - 4,343 Production-Ready Workflows - 365 Unique Integrations - 29,445 Total Nodes - 15 Organized Categories - 100% Import Success Rate

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DEEP OPEN-SOURCE ANALYSIS

Performance

The README section "Performance" states: - < 100ms Search Response - < 50MB Memory Usage - 700x Smaller Than v1 - 10x Faster Load Times - 40x Less RAM Usage

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The repository README is the source for this review. It does not replace a local installation or an independent test.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes