arm-pytorch-utilities
Utilities for working with pytorch
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires PyTorch 1.0+ and Python 3.6+
- Low friction installation with a pure Python wheel.
- Actively maintained with recent commits as of 2026-03-10.
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution with only attribution and liability disclaimer required—suitable for both open and commercial projects.
last release 2026-03-10 (157 days) · last repo commit 2026-03-10 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 123,137 downloads/mo, #11,922 on PyPI
Alternatives
Verify before relying
pip install arm-pytorch-utilities
import arm_pytorch_utilities
import torch- 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
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 on this page. Verify before relying on it.
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
arm-pytorch-utilities on PyPI
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.
Requires PyTorch 1.0+ and Python 3.6+
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 torchVerify 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 | permissive license permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagestorchnumpymatplotlibscipypytorch-seed |
| Maintenance | Actively maintained 157 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 123,137 / month, #11,922 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: Only |
Evidence: arm_pytorch_utilities-0.5.0-py3-none-any.whl
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See also pytorch-seed · torch-einops-utils · nvidia-curand · torchvision · torchviz · pytorch-ranger · torchrunx · tools · pte-adapter-model-explorer · pytest-rng