Skip to main content

A Python package for running the HOLOS 4.0 CLI.

Project description

PyHolos

A Python wrapper for the HOLOS 4.0 CLI - enabling estimations of Canadian agricultural greenhouse gas emissions.

Overview

PyHolos provides a Python interface to the HOLOS CLI, allowing you to:

  • Launch HOLOS simulations from Python scripts
  • Model farm systems with minimal input data (PyHolos estimates missing parameters)
  • Generate structured input files for the HOLOS CLI
  • Process and visualize simulation results

Features

  • Farm Modeling: Support for livestock (beef, dairy, sheep) and land management systems (crops, carbon sequestration)
  • Data Integration: Automatic integration with Soil Landscapes of Canada (SLC) data
  • Flexible Input: Work with JSON configurations or pre-structured farm data
  • Post-processing: Built-in tools for analyzing and plotting simulation results

Requirements

  • Python >= 3.12
  • Dependencies: geojson, shapely, pandas, pydantic

Installation

For detailed installation instructions including prerequisites (Git, conda, PyCharm setup), see the documentation.

Quick Start

from pathlib import Path
from pyholos import launching

# Launch HOLOS using a JSON farm configuration
launching.launch_holos(
    path_dir_farms=Path('path/to/farm_data'),
    name_farm_json='farm.json',
    path_dir_outputs=Path('path/to/outputs'),
    id_slc_polygon=851003
)

See the examples directory for more usage patterns.

Documentation

Full documentation is available in the documentation directory. Build it locally using Sphinx or refer to individual .rst files for:

License

This project is licensed under the terms specified in LICENSE.

Contributing

Contributions are welcome! Please submit issues and pull requests via the GitHub repository.

Support

For questions or issues, please open an issue on the issue tracker.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyholos-0.3.1.tar.gz (97.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyholos-0.3.1-py3-none-any.whl (97.4 MB view details)

Uploaded Python 3

File details

Details for the file pyholos-0.3.1.tar.gz.

File metadata

  • Download URL: pyholos-0.3.1.tar.gz
  • Upload date:
  • Size: 97.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyholos-0.3.1.tar.gz
Algorithm Hash digest
SHA256 35adb7f23c494f189cdc38f5b15cbc06cbd9c40dc3da3237d6d344be2884d192
MD5 bd1dfa87acc29e3d722f0d0ee31b7a33
BLAKE2b-256 db767889ac60a4c40669610c460b7a5e28e236bbe45286ccb600ad099922dacb

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyholos-0.3.1.tar.gz:

Publisher: main.yml on holos-aafc/pyholos

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pyholos-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: pyholos-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 97.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyholos-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 61c4179e21ba3e30bc021e8216a221498139df0893c49400b96f289a358a844f
MD5 c88ee77b120529e7a78823c54630902a
BLAKE2b-256 e7f27ed2c9fd2943cb2a9ed22ccec882e98ff16808b06b49ba9c9669e40774d7

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyholos-0.3.1-py3-none-any.whl:

Publisher: main.yml on holos-aafc/pyholos

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page