11st of 42 in Image and video
frigate
Local NVR with realtime object detection for IP cameras
- Stars
- 37.1k
- License
- MIT
- Last commit
- Nov 2026
- Last release
- Oct 2026
- Language
- Python
31,121 on 10 Apr 202637,116 on 30 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Frigate is a network video recorder that runs object detection locally on IP camera streams using OpenCV and TensorFlow. It uses low-overhead motion detection to decide where to run detection, records video with retention based on detected objects, and re-streams over RTSP. It integrates with Home Assistant through a custom component and publishes events over MQTT.
Who it is for: Home Assistant users running local AI detection on IP cameras
Ranked among open-source alternatives to Midjourney (#1 of 10).
Strengths
- Runs detection only where motion is found, which limits CPU use
- Retention rules based on detected objects, plus 24/7 recording
- RTSP re-streaming, plus WebRTC and MSE for low-latency live view
- MQTT and a Home Assistant custom component for integration
Weaknesses
- README strongly recommends a GPU or AI accelerator for detection
- Tightly oriented to Home Assistant; other setups rely on MQTT
- Frigate name and logo are trademarks excluded from the MIT license
What it needs
- GPU optional
- Docker + Compose
- Needs MQTT, Home Assistant (optional), IP cameras (RTSP)
- Models: TensorFlow
Quick answers
Is frigate open source?
Yes. Its code is on GitHub under the MIT license.
Can you run frigate with Docker?
Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.
Does frigate need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
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