head to head · open source
frigate vs local-deep-research
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. local-deep-research has 9,483 stars, 899 forks, 889 open issues and last shipped yesterday. frigate leads on adoption by 292% (37,160 vs 9,483 stars). frigate is written in Python under MIT; local-deep-research is written in Python under MIT. frigate has attracted 10% as many forks as stars, local-deep-research 9%. local-deep-research was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (home-automation), 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 | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 9.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 3.8K | ⑂ 899 |
| 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 local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research 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 local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
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Frequently asked questions
Is frigate or local-deep-research more popular?
frigate has 37,160 GitHub stars and local-deep-research has 9,483. frigate has the larger community by that measure.
Are frigate and local-deep-research free?
Both are open source. frigate is licensed under MIT and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between frigate and local-deep-research?
frigate is written in Python and local-deep-research 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 local-deep-research?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.