Napistu PyTorch Library

Python package supporting integration of Napistu network graphs and PyTorch NNs

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This Python package builds on the Napistu Python package with PyTorch-specific data, model, and results management. As part of the broader Napistu project this work is intended to create and interrogate genome-scale networks of cellular physiology.

Setup

Napistu is available on PyPI so the recommended way to use it is just to pip install with:

pip install napistu-torch

Alternatively, you can clone this repository and perform a local install. e.g., from this directory:

pip install .

Mac setup

uv pip install torch==2.8.0
uv pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.8.0+cpu.html
uv install 'napistu-torch[dev]'

Documentation

Advanced setup

Wandb

If this is your first time using wandb, you'll need to authenticate:

  1. Go to https://wandb.ai/ and create an account
  2. Get your API key from https://wandb.ai/authorize
  3. Run: wandb login
  4. Or set environment variable: export WANDB_API_KEY=your_api_key_here

Project links

Data verified by PyPI on May 26, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for shackett from gravatar.com shackett

Credits

Author: Sean Hackett

GitHub Statistics

Data verified by PyPI on May 26, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.11

Provides Extra

pyg dev lightning analysis

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