env_python.yaml

name: Interstellar_python
channels:
  - conda-forge
  - anaconda
dependencies:
  - python=3.10
  - conda-forge::pip
  - conda-forge::numpy
  - conda-forge::pandas
  - conda-forge::scikit-learn=1.3.2
  - conda-forge::matplotlib
  - conda-forge::optuna
  - conda-forge::pytorch
  - conda-forge::seaborn
  - conda-forge::pyarrow
  - conda-forge::numba
  - conda-forge::umap-learn
  - conda-forge::jupyter
  - conda-forge::jupyterlab
  - conda-forge::ipykernel
  - conda-forge::python
  # - conda-forge::widgetsnbextension
  # - conda-forge::jupyter_contrib_nbextensions
  # - conda-forge::nb_conda_kernels
  - conda-forge::tifffile
  - conda-forge::opencv
  - conda-forge::toml
  - pip:
    - pre-commit
    - tabulate
    - black
    - torcheval
    - ipywidgets
    - kaleido
    - plotly
    - matplotlib_venn
    - nbformat>=4.2.0
    - git+https://github.com/cytomining/pycytominer@a5ae6c81a275b692ef5d4c85cfeb37696bf69242
    - nbqa
    - yq
    - papermill
    - openpyxl
    - git+https://github.com/cytomining/cytominer-eval@643d3e7fc97464a1b45a4642fa921cc22269b118
    - git+https://github.com/WayScience/CytoCherryPick@b2f48d00f117b949e0fbf005b6aab7da1f616610