geospaitial-lab-aviary 1.8.1

Pythonic Framework for AI Inference on Geospatial Data

aviary is the pythonic way to run your AI models on geospatial data with minimal boilerplate – from quick prototyping to production-grade pipelines.

• High-level Python API
  Define and run pipelines from composable components instead of writing ad hoc scripts

• Config-driven CLI
  Define and run the same pipelines with the command-line interface using a simple declarative config file

• Extensible by design
  Add custom components via a plugin registry and distribute them as a plugin package

• AI framework-agnostic
  Use models from PyTorch, TensorFlow, ONNX, or scikit-learn

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Installation

Installation with pip

pip install geospaitial-lab-aviary

Note that aviary requires Python 3.10 or later.

Have a look at the installation guide for further information.

Installation with uv

uv pip install geospaitial-lab-aviary

Note that aviary requires Python 3.10 or later.

Have a look at the installation guide for further information.

Installation with Docker

docker pull ghcr.io/geospaitial-lab/aviary

Have a look at the installation guide for further information.

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Next steps

Have a look at the how-to guides to get started.

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Documentation

The documentation is available at geospaitial-lab.github.io/aviary.

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License

aviary is licensed under the GPL-3.0 license.