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It uses the `libcbm` model developed by Canada under the hood.\n\nThis python module uses pandas data frames to manipulate and store most data.\n\n\n## Dependencies\n\n* `libcbm` is a C++ library with python binding developed by the Canadian Forest Service. It is bundled into the libcbm_py python package available at https://github.com/cat-cfs/libcbm_py\n\n* `libcbm_data` contains the model's input and output data located at https://gitlab.com/bioeconomy/libcbm/libcbm_data\n\n* `libcbm_aidb` contains the \"Archive Index Databases\" in a separate repository located at https://github.com/xapple/libcbm_aidb\n\n\n## Installation\n\nInstallation instructions are available for two different platforms:\n\n* [Installation on Linux](docs/setup_on_linux.md)\n* [Installation on Windows](docs/setup_on_windows.md)\n\n\n## Definitions\n\n- Input files (disturbances, yield, inventory) defined in `libcbm_data` contain scenarios for the activities (afforestation, deforestation, reforestation, disturbances in forest remaining forest, wood use specified in the silviculture and product_types.csv tables)\n\n\n## Extra documentation\n\nMore documentation is available at:\n\n\u003chttp://xapple.github.io/libcbm_runner/libcbm_runner\u003e\n\nThis documentation is simply generated with:\n\n    $ pdoc --html --output-dir docs --force libcbm_runner\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxapple%2Flibcbm_runner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxapple%2Flibcbm_runner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxapple%2Flibcbm_runner/lists"}