environment.yml

name: xclim
channels:
  - conda-forge
  - defaults
dependencies:
  - python >=3.10,<3.14
  - boltons >=20.1
  - bottleneck >=1.3.1
  - cf_xarray >=0.9.3
  - cftime >=1.4.1
  - click >=8.1
  - dask >=2024.8.1
  - filelock >=3.14.0
  - jsonpickle >=3.1.0
  - numba >=0.54.1
  - numpy >=1.23.0
  - packaging >=24.0
  - pandas >=2.2.0
  - pint >=0.18.0
  - pyarrow >=15.0.0  # Strongly encouraged for Pandas v2.2.0+
  - pyyaml >=6.0.1
  - scikit-learn >=1.1.0
  - scipy >=1.9.0
  - statsmodels >=0.14.2
  - xarray >=2023.11.0,!=2024.10.0
  - yamale >=5.0.0
  # Extras
  - fastnanquantile >=0.0.2
  - flox >=0.9
  - lmoments3 >=1.0.7  # Required for some Jupyter notebooks
  - pot >=0.9.4
  # Testing and development dependencies
  - black ==24.10.0
  - blackdoc ==0.3.9
  - bump-my-version >=0.27.0
  - cairosvg
  - codespell ==2.3.0
  - coverage >=7.5.0
  - coveralls >=4.0.1  # Note: coveralls is not yet compatible with Python 3.13
  - deptry ==0.20.0
  - distributed >=2.0
  - flake8 >=7.1.1
  - flake8-rst-docstrings >=0.3.0
  - flit >=3.9.0
  - furo >=2023.9.10
  - h5netcdf >=1.3.0
  - ipykernel
  - ipython >=8.5.0
  - isort ==5.13.2
  - matplotlib >=3.6.0
  - mypy >=1.10.0
  - nbconvert <7.14  # Pinned due to directive errors in sphinx. See: https://github.com/jupyter/nbconvert/issues/2092
  - nbqa >=1.8.2
  - nbsphinx >=0.9.5
  - nbval >=0.11.0
  - nc-time-axis >=1.4.1
  - netcdf4  # Required for some Jupyter notebooks
  - notebook
  - pandas-stubs >=2.2
  - pooch >=1.8.0
  - pre-commit >=3.7
  - pybtex >=0.24.0
  - pylint >=3.3.1
  - pytest >=8.0.0
  - pytest-cov >=5.0.0
  - pytest-socket >=0.6.0
  - pytest-xdist >=3.2
  - ruff >=0.5.6
  - sphinx >=7.0.0
  - sphinx-autobuild >=2024.4.16
  - sphinx-autodoc-typehints
  - sphinx-codeautolink
  - sphinx-copybutton
  - sphinx-mdinclude
  - sphinxcontrib-bibtex
  - tokenize-rt >=5.2.0
  - tox >=4.21.2
  - tox-gh >=1.4.4
  - vulture ==2.13
  - xdoctest >=1.1.5
  - yamllint >=1.35.1
  - pip >=24.2.0
  - pip:
    - sphinxcontrib-svg2pdfconverter