frigate VS argos

Compare frigate vs argos and see what are their differences.

argos

a spacial-temporal pattern detection system for home automation (by angadsingh)
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frigate argos
290 7
14,547 134
- -
9.8 1.8
4 days ago over 2 years ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

frigate

Posts with mentions or reviews of frigate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.

argos

Posts with mentions or reviews of argos. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-03.
  • A Robust And Reliable Room Presence Solution With
    2 projects | /r/homeassistant | 3 Feb 2021
    you say you have followed argos installation instructions uptil the point of creation of the systemd services. bear in mind that you only need the argos_serve for argos-presence not the argos_stream service. disable and remove the argos_stream service if you started that as well.
    2 projects | /r/homeassistant | 2 Feb 2021
    I then entered the commands from the "Installation" section from this page: https://github.com/angadsingh/argos#installation . I also entered the 3 commands from the tf2 section. Then the commands to make a systemd service to run it automatically.
  • A robust and reliable room presence solution with nearly no false negatives!
    2 projects | /r/homeassistant | 20 Jan 2021
    it will only require a few line of changes for me to add support for coral (in the way the tensorflow lite API is initialized), however I do not have a coral accelerator with me to test. Appreciate if you can please open a github issue for this and docker so that I can work on it when I get time? https://github.com/angadsingh/argos/issues
  • Argos: a spacial-temporal pattern detection system for home automation
    7 projects | /r/homeassistant | 20 Jan 2021
    the test is running the videos at 10 fps for the purpose of the demo video, otherwise they run at 100+ fps easily. config for this test is here

What are some alternatives?

When comparing frigate and argos you can also consider the following projects:

motioneye - A web frontend for the motion daemon.

bi-aidetection - Alarm system for Blue Iris based on Artificial Intelligence.

Shinobi - :peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer

argos-presence - a robust room presence solution for home automation with nearly no false negatives

viseron - Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

scrypted - Scrypted is a high performance home video integration and automation platform

HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection

docker-wyze-bridge - WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container

Agent - 👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect

DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

Zoneminder - ZoneMinder is a free, open source Closed-circuit television software application developed for Linux which supports IP, USB and Analog cameras.

SynoAI - A Synology Surveillance Station notification system utilising DeepStack AI