Cross-platform app to run AI models to monitor and protect nature. Locally, no cloud.
Features
- Cross-platform
- GUI, TUI and CLI tool
- Run AIs for computer vision and audio, locally
- Process image, video, live feed or audio files
- Deploy and consume REST APIs, with maximum efficiency. Powered by axum
Installation
Download the latest binaries from releases
We offer two versions, one with both dependencies (ffmpeg and onnxruntime) and one without, in case you have them in your computer already.
AIs
You can load any .bq model. You can find them on our website.
List of Platforms
| Platform | Production ready |
|---|---|
| Windows | ✅ |
| Linux | ✅ |
| MacOS | ✅ |
| Android | On the way |
| Web | On the way |
| iOS | Not soon |
List of Runtimes
| Runtime | Description | Requirements |
|---|---|---|
| CPU | Your average CPU | Having a CPU |
| NVIDIA CUDA | CUDA execution provider for NVIDIA GPUs (Maxwell 7xx and above) | CUDA v12.8 + cuDNN 9.7 |
| WebGPU | GPU acceleration via the WebGPU API, runs on most devices that support graphics | Having a modern GPU |
| Remote BoquilaHUB | A BoquilaHUB session in your network with a deployed REST API | Having the URL |
And soon more
How to compile
If you want to compile from source just have to
git clone https://github.com/boquila/boquilahub/ cd boquilahub cargo xtask fetch # downloads ffmpeg + ONNX Runtime into deps/ (run once) cargo build --release
On macOS, install ffmpeg first with brew install ffmpeg — cargo xtask fetch links it into deps/. Because Apple's linker rejects a flag that ffmpeg-sys-next emits, route the link through the bundled shim:
chmod +x .github/macos-cc-shim.sh export CARGO_TARGET_$(rustc -vV | sed -n 's/host: //p' | tr 'a-z-' 'A-Z_')_LINKER="$PWD/.github/macos-cc-shim.sh" cargo build --release
Probably instead of cloning from main, you should prefer to get the source code from a tagged version