MetaBCI/environment.yml at master · TBC-TJU/MetaBCI · GitHub

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# MetaBCI Conda Environment
# Usage:
#   Full installation:     conda env create -f environment.yml
#   Activate environment:  conda activate metabci
#
# For modular installation, comment out the sections you don't need.

name: metabci
channels:
  - conda-forge
  - pytorch
  - defaults

dependencies:
  - python>=3.8

  # ============== Core Dependencies ==============
  - numpy
  - scipy
  - tqdm>=4.32.0
  - requests
  - joblib

  # ============== brainda (datasets, algorithms, deep learning) ==============
  # Comment out this section if you don't need brainda
  - mne>=0.21.1
  - pandas
  - scikit-learn
  - h5py
  - py7zr
  - pooch
  - pytorch>=1.7.1
  - pip

  # ============== brainflow (signal acquisition) ==============
  # Comment out this section if you don't need brainflow
  - liblsl

  # ============== pip-only packages ==============
  # Some packages are not available on conda and need pip
  - pip:
    # brainda extras
    - mat73
    - mne-bids
    - skorch
    - autograd
    - pymanopt>=2.0

    # brainflow
    - pylsl

    # brainstim (comment out if not needed)
    # Note: psychopy has complex dependencies, consider using pip directly
    # - psychopy>=2022.1.4

    # Install metabci itself in development mode
    - -e .