https://github.com/geospaitial-lab/aviary
Pythonic Framework for AI Inference on Geospatial Data
https://github.com/geospaitial-lab/aviary
aerial-imagery artificial-intelligence computer-vision deep-learning machine-learning orthophotos python remote-sensing
Last synced: about 2 months ago
JSON representation
Pythonic Framework for AI Inference on Geospatial Data
- Host: GitHub
- URL: https://github.com/geospaitial-lab/aviary
- Owner: geospaitial-lab
- License: gpl-3.0
- Created: 2024-04-10T19:22:27.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2026-05-06T15:46:07.000Z (about 2 months ago)
- Last Synced: 2026-05-06T17:39:09.788Z (about 2 months ago)
- Topics: aerial-imagery, artificial-intelligence, computer-vision, deep-learning, machine-learning, orthophotos, python, remote-sensing
- Language: Python
- Homepage: https://geospaitial-lab.github.io/aviary
- Size: 3.96 MB
- Stars: 12
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
- Awesome-Geospatial - aviary - Pythonic Framework for AI Inference on Geospatial Data. (Deep Learning)
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README
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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
---
## Installation
### Installation with pip
```bash
pip install geospaitial-lab-aviary
```
Note that aviary requires Python 3.10 or later.
Have a look at the [installation guide][installation guide pip] for further information.
[installation guide pip]: https://geospaitial-lab.github.io/aviary/how_to_guides/installation/how_to_install_aviary_with_pip
### Installation with uv
```bash
uv pip install geospaitial-lab-aviary
```
Note that aviary requires Python 3.10 or later.
Have a look at the [installation guide][installation guide uv] for further information.
[installation guide uv]: https://geospaitial-lab.github.io/aviary/how_to_guides/installation/how_to_install_aviary_with_uv
### Installation with Docker
```bash
docker pull ghcr.io/geospaitial-lab/aviary
```
Have a look at the [installation guide][installation guide docker] for further information.
[installation guide docker]: https://geospaitial-lab.github.io/aviary/how_to_guides/installation/how_to_install_aviary_with_docker
---
## Next steps
Have a look at the [how-to guides] to get started.
[how-to guides]: https://geospaitial-lab.github.io/aviary/how_to_guides
---
## Documentation
The documentation is available at [geospaitial-lab.github.io/aviary].
[geospaitial-lab.github.io/aviary]: https://geospaitial-lab.github.io/aviary
---
## License
aviary is licensed under the [GPL-3.0 license].
[GPL-3.0 license]: LICENSE.md