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deepstack

Deepstack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on-premise and in the cloud.

  • AI
  • Home Automation
  • Other
  • Security
  • Tools & Utilities
Deepstack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on-premise and in the cloud. The promises of Artificial Intelligence are huge but becoming a machine learning engineer is hard. Build and deploy AI-powered applications with in-built and custom AI APIs, all offline and self-hosted. See https://deepstack.cc and https://docs.deepstack.cc/faq/index.html To use with home assistant see: https://github.com/robmarkcole/HASS-Deepstack-object and https://docs.deepstack.cc/faq/index.html --- **_Old CPUs without AVX:_** If you are using an older CPU that doesn't support AVX _(Warning: This version hasn't been updated in some time)_: 1. Add **`:noavx`** to the end of the **_`Repository:`_** field. 2. Should look like this: **`deepquestai/deepstack:noavx`** --- **_GPU:_** If you wish to use a NVIDIA GPU instead of your CPU: 1.

Platform availability

Available on 2 of 9 platforms

  • Unraid
  • TrueNAS (not listed)
  • Umbrel (not listed)
  • ZimaOS (not listed)
  • Proxmox (not listed)
  • Helm
  • Mac (not listed)
  • Windows (not listed)
  • Linux (not listed)

Health score?A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). When the source code has been checked, a fifth factor, security check (20%: automated scan for committed secrets, unsafe desktop-app settings, known-vulnerable dependencies and project hygiene; any serious finding caps it at 20), is added. Factors without data are left out and the rest are rescaled.

51/100 Fair

Maintained
No data
Popular
No data
Easy to install
302 install platforms, Docker image
Light to run
801 GB minimum RAM, runs on ARM

Based on 2 of 4 factors.

Availability: platform listings confirmed today, links checked 15 days ago

No GitHub repository data collected yet.

Resources & Compatibility

Minimum requirements: 1 GB RAM. ARM (e.g. Raspberry Pi) is supported.

Checked 17 days ago - source: Docker Hub image tags and published docs

First-install notes

No first-install notes yet.

Alternatives

No alternatives collected yet.

Common questions

How can Deepstack be used in an NVR-less CCTV setup?

It can be part of a self-hosted PoE CCTV setup that uses FTP and Plex to store motion-only clips locally without an NVR.

Can Deepstack run in Kubernetes for a camera detection pipeline?

A self-hosted machine-learning pipeline can run Deepstack in Kubernetes on a front-yard camera feed to detect cars and humans. It can then announce events through Hubitat and Google Home.

What object-detection issue did a user report when feeding camera images to Deepstack?

A user testing Deepstack for self-hosted object detection from cameras said they could not get it to work correctly.

Answers sourced from www.reddit.com, www.reddit.com, www.reddit.com

Community

Collected 16 days ago - public community threads