head to head · open source
frigate vs n8n-helm-chart
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. n8n-helm-chart has 709 stars, 246 forks, 64 open issues and last shipped 2 months ago. frigate leads on adoption by 5,141% (37,160 vs 709 stars). frigate is written in Python under MIT; n8n-helm-chart is written in Go Template under Apache-2.0. frigate has attracted 10% as many forks as stars, n8n-helm-chart 35%. frigate was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| frigate | n8n-helm-chart | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 709 |
| License | MIT | Apache-2.0 |
| Written in | Python | Go Template |
| Last push | 2026-11-02 | 2026-09-15 |
| Forks | ⑂ 3.8K | ⑂ 246 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick frigate if
- You weight community size — 37K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick n8n-helm-chart if
- You want the n8n-helm-chart feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go Template
- You evaluated both and n8n-helm-chart fits your workflow better
About frigate
Frigate NVR™ Realtime Object Detection for IP Cameras \[English\] 简体中文 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors. Tight integration with Home Assistant via a custom component Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary Leverages multiprocessing…
read the full frigate overview →
About n8n-helm-chart
[!NOTE] The n8n Helm chart is growing in popularity. We're looking for additional conscientious and accurate maintainers and contributors to improve and maintain this chart, governance, development, documentation and CI/CD workflows. If you're interested in making a difference, join the discussion. n8n Helm Chart for Kubernetes n8n is an extendable workflow automation tool. The Helm chart source code location is github.com/8gears/n8n helm chart Requirements Before you start, make sure you have the following tools ready: Helm = 3.8 external Postgres DB or embedded SQLite (SQLite is bundled with n8n) Helmfile…
read the full n8n-helm-chart overview →
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Frequently asked questions
Is frigate or n8n-helm-chart more popular?
frigate has 37,160 GitHub stars and n8n-helm-chart has 709. frigate has the larger community by that measure.
Are frigate and n8n-helm-chart free?
Both are open source. frigate is licensed under MIT and n8n-helm-chart under Apache-2.0. Neither carries a licence fee.
What is the difference between frigate and n8n-helm-chart?
frigate is written in Python and n8n-helm-chart in Go Template. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, frigate or n8n-helm-chart?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose n8n-helm-chart if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.