environment.yml

---
name: hsp2
channels:
  - conda-forge
  - nodefaults  # Speeds solving env, by limiting the number of options

dependencies:
  - python >=3.10

  # Running HSP2
  - scipy  # Scipy also installs numpy
  # Pandas installs most scientific Python modules, such as Numpy, etc.
  - pandas <3.0.0
  - numba
  - numpy
  - hdf5
  - pytables
  - h5py
  - hdf5plugin  # HDF5 compression filters for h5py & jupyterlab_hdf
  - cltoolbox

  # Operational Model (om)
  - pyparsing

  # Interactivity via Jupyter Notebooks (optional, but required for tutorials)
  - jupyterlab  # also installs classic Jupyter notbook
  - nodejs  # required for many JupyterLab extensions

  # Visualization (optional)
  - hvplot  # hvPlot installs most HoloViz libs, including matplotlib
  - ipympl  # jupyter-matplotlib, https://github.com/matplotlib/ipympl
  - ipywidgets  # Required for HoloViz interactivity in Jupyter notebooks
  - ipywidgets_bokeh
  - jupyter_bokeh # Renders Holviz / Bokeh objects in Jupyter
  - pyviz_comms # bidirectional communication between Python & JavaScript for Jupyter

  # Dev tools (optional)
    # Language Server Protocol (LSP) extension for Python (pylsp)
  - python-lsp-server
  - jupyterlab-lsp # Provides both server extension and lab extension

  # Environment and package management
  - conda
  - conda-libmamba-solver
  - pip
  # PIP install requirements only if it is not possible with conda
  # https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#using-pip-in-an-environment
  - pip:
    - hsp2