head to head · open source
frigate vs Vibe-Skills
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. Vibe-Skills has 3,788 stars, 342 forks, 42 open issues and last shipped 3 days ago. frigate leads on adoption by 881% (37,160 vs 3,788 stars). frigate is written in Python under MIT; Vibe-Skills is written in Python under Apache-2.0. frigate has attracted 10% as many forks as stars, Vibe-Skills 9%. 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 | Vibe-Skills | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 3.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 3.8K | ⑂ 342 |
| 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 Vibe-Skills if
- You want the Vibe-Skills feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Vibe-Skills 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 Vibe-Skills
English 中文 Latest release · v4.1.0 Quick start · Measured on SkillsBench Mean verifier reward: +21.12 pp Total tokens: 29.6% · Tool calls: 33.1% SkillsBench is a benchmark designed to evaluate whether AI agents can effectively use Skills to complete professional tasks across diverse domains. Its purpose is to measure how much a model’s ability to solve complex real world tasks improves when it is equipped with specialized Skills. To evaluate performance in production like environments where a large number of Skills are installed simultaneously, we adapted SkillsBench into a more realistic large scale multi Skill…
read the full Vibe-Skills overview →
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Frequently asked questions
Is frigate or Vibe-Skills more popular?
frigate has 37,160 GitHub stars and Vibe-Skills has 3,788. frigate has the larger community by that measure.
Are frigate and Vibe-Skills free?
Both are open source. frigate is licensed under MIT and Vibe-Skills under Apache-2.0. Neither carries a licence fee.
What is the difference between frigate and Vibe-Skills?
frigate is written in Python and Vibe-Skills in Python. 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 Vibe-Skills?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose Vibe-Skills if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.