head to head · open source
frigate vs ha-llmvision
frigate has 37,347 GitHub stars, 3,812 forks, 95 open issues and last shipped yesterday. ha-llmvision has 1,527 stars, 156 forks, 44 open issues and last shipped 2 days ago. frigate leads on adoption by 2,346% (37,347 vs 1,527 stars). frigate is written in Python under MIT; ha-llmvision is written in Python under Apache-2.0. frigate has attracted 10% as many forks as stars, ha-llmvision 10%. frigate was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, home-assistant), so they are genuine substitutes rather than adjacent tools.
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 | ha-llmvision | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 1.5K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-09 | 2026-11-08 |
| Forks | ⑂ 3.8K | ⑂ 156 |
| 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 ha-llmvision if
- You want the ha-llmvision 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 ha-llmvision 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 ha-llmvision
Visual intelligence for your home. 🌟 Features · ⬇️ Quick Start Guide · 📖 Resources · 🪲 How to report Bugs · ☕ Support Visit Website → LLM Vision is a Home Assistant integration that uses multimodal large language models to analyze images, videos, live camera feeds, and Frigate events. It can also keep track of analyzed events in a timeline, with an optional Timeline Card for your dashboard. Features Supports OpenRouter, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, Groq, Ollama, Open WebUI, LocalAI and any provider with OpenAI compatible endpoints. Answers questions and provides descriptions of…
read the full ha-llmvision overview →
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Frequently asked questions
Is frigate or ha-llmvision more popular?
frigate has 37,347 GitHub stars and ha-llmvision has 1,527. frigate has the larger community by that measure.
Are frigate and ha-llmvision free?
Both are open source. frigate is licensed under MIT and ha-llmvision under Apache-2.0. Neither carries a licence fee.
What is the difference between frigate and ha-llmvision?
frigate is written in Python and ha-llmvision 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 ha-llmvision?
Choose frigate if you want the larger community (37,347 stars) or its MIT licence terms. Choose ha-llmvision if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.