---
id: arm-pytorch-utilities
version: "0.5.0"
license: Copyright (c) 2023 University of Michigan ARM Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# arm-pytorch-utilities — Utilities for working with pytorch

License: permissive · Maintenance: active · Downloads: 123.1K/mo

## What it is and what it does

arm-pytorch-utilities is a collection of helper functions for PyTorch development maintained by the University of Michigan ARM Lab. It provides utilities centered on random number generation control and visualization, designed to support reproducible machine learning experiments and aid in debugging PyTorch models.

The package depends on torch, numpy, matplotlib, scipy, and pytorch-seed, making it a natural fit for existing ML workflows. It requires Python 3.6+ and PyTorch 1.0+. Installation is straightforward via pip, and the project supports editable installs for development. The codebase is actively maintained with recent commits and has been in development since 2023-02-10.

Use it for:

- Seed and control random number generation across PyTorch experiments to ensure reproducibility
- Visualize model outputs, training dynamics, or intermediate representations using built-in plotting utilities
- Standardize utility patterns across a team's PyTorch projects through a shared library
- Debug neural network behavior by leveraging helper functions for common ML tasks

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides utility functions for PyTorch development, including random number generation control and visualization tools.

Yes, if you work regularly with PyTorch and need reproducible RNG control or visualization helpers. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. The small repository size suggests it is specialized rather than general-purpose, so evaluate whether its specific utilities match your workflow.

## Install

pip install arm-pytorch-utilities
uv add arm-pytorch-utilities
poetry add arm-pytorch-utilities

## Installing arm-pytorch-utilities

Before you install: Low friction installation with a pure Python wheel. Actively maintained with recent commits as of 2026-03-10. Five runtime dependencies (torch, numpy, matplotlib, scipy, pytorch-seed) are standard in ML environments.

License in practice: MIT license permits unrestricted use, modification, and distribution with only attribution and liability disclaimer required—suitable for both open and commercial projects.

Quickstart:

pip install arm-pytorch-utilities

import arm_pytorch_utilities
import torch

Requires PyTorch 1.0+ and Python 3.6+

Verify before relying:

- Specific utility functions and their use cases beyond rng and visualization
- Whether pytorch-seed is a required runtime dependency or optional
- API stability and backward compatibility guarantees across versions

## Package facts

- License: Copyright (c) 2023 University of Michigan ARM Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 123.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

pytorch utilities library, pytorch rng seeding, pytorch visualization tools, machine learning utilities pytorch, pytorch helper functions, reproducible pytorch experiments, pytorch development tools, pytorch, reproducibility, visualization

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