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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The World's Leading Cross Platform AI Engine for Edge Devices
| Date | Stars |
|---|---|
| 2026-07-24 | 821 |
| 2026-07-25 | 821 |
| 2026-07-28 | 818 |
| 2026-07-30 | 818 |
| 2026-08-06 | 818 |
Today
— stars today
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Momentum
0.0
growth rate 0.00%/day
# DeepStack
The World's Leading Cross Platform AI Engine for Edge Devices, with over `10 million` installs on [**Docker Hub**](https://hub.docker.com/r/deepquestai/deepstack).
[](https://github.com/psf/black)
[](hhttps://github.com/johnolafenwa/DeepStack/blob/dev/LICENSE)
**Website**: [https://deepstack.cc](https://deepstack.cc)
**Documentation**: [https://docs.deepstack.cc](https://docs.deepstack.cc)
**Forum**: [https://forum.deepstack.cc](https://forum.deepstack.cc)
**Dev Center**: [https://dev.deepstack.cc](https://dev.deepstack.cc/)
**DeepStack** is owned and maintained by [DeepQuest AI](https://www.deepquestai.com/).
# Introduction
DeepStack is an AI API engine that serves pre-built models and custom models on multiple edge devices locally or on your private cloud. Supported platforms are:
- **Linux OS** via Docker ( CPU and NVIDIA GPU support )
- **Mac OS** via Docker
- **Windows 10** ( native application, CPU and GPU )
- **NVIDIA Jetson** via Docker.
- **Rasperry Pi & ARM64 Devices** via Docker.
DeepStack runs completely offline and independent of the cloud. You can also install and run DeepStack on any cloud VM with docker installed to serve as your private, state-of-the-art and real-time AI server.
# Features
- **Face APIs**: Face detection, recognition and matching.
- **Common Objects APIs**: Object detection for [80 common objects](https://docs.deepstack.cc/object-detection/index.html#classes)
- **Custom Models**: Train and deploy new models to detect any custom object(s)
- **Image Enhance**: 4X image superresolution
`Input`
`Output`
- **Scene Recognition**: Image scene recognition
- **SSL Support**
- **API Key support**: Security options to protect your DeepStack endpoints
# Installation and Usage
Visit [https://docs.deepstack.cc/getting-started](https://docs.deepstack.cc/getting-started/) for installation instructions. The documentation provides example codes for the following programming languages with more to be added soon.
- **Python**
- **C#**
- **NodeJS**
# Build from Source (For Docker Version)
- **Install Prerequisites**
- [Install Golang](https://golang.org)
- [Install Docker](https://docker.com)
- [Install GIT](https://git-scm.com)
- [Install GIT LFS](https://github.com/git-lfs/git-lfs/wiki/Installation)
- [Install Redis Server](https://redis.io/)
- [Install Python3.7](https://python.org)
- [Install Powershell 7+](https://docs.microsoft.com/en-us/powershell/scripting/windows-powershell/install/installing-windows-powershell?view=powershell-7.1)
- **Clone DeepStack Repo**
```git clone https://github.com/johnolafenwa/DeepStack.git```
- **CD to DeepStack Repo Dir**
```cd DeepStack```
- **Fetch Repo Files**
``git lfs pull``
- **Download Binary Dependencies With Powershell**
```.\download_dependencies.ps1```
- **Build DeepStack CPU Version**
```cd .. && sudo docker build -t deepquestai/deepstack:cpu . -f Dockerfile.cpu```
- **Build DeepStack GPU Version**
```sudo docker build -t deepquestai/deepstack:gpu . -f Dockerfile.gpu```
- **Build DeepStack Jetson Version**
```sudo docker build -t deepquestai/deepstack:jetpack . -f Dockerfile.gpu-jetpack```
- **Running and Testing Locally Without Building**
- Unless you wish to install requirements system wide, create a virtual environment with ```python3.7 -m venv venv``` and activate with ```source venv/bin/acExcerpt of 8,357 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:349001dea66dca7b, topic:computer-vision, topic:object-detection, topic:face-recognition