{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"Provides utility functions for PyTorch and einops to accelerate tensor manipulation in ML workflows.","skillfed_tags":["pytorch","tensor-ops","ml-utilities"],"use_cases":["Simplify tensor reshaping and dimension manipulation in PyTorch models using einops-based helpers.","Accelerate prototyping of neural network layers by reducing boilerplate tensor operation code.","Standardize tensor operations across a team's ML codebase with shared utility functions.","Integrate einops patterns into existing PyTorch projects with minimal overhead."],"what_it_does":"torch-einops-utils is a lightweight utility library that wraps and extends einops and torch to simplify tensor operations in machine learning workflows. It depends on einops and torch as its only runtime dependencies, making it a thin convenience layer rather than a heavy framework. The package targets developers working with PyTorch who want faster, more readable tensor manipulation code.\n\nReleased on 2026-01-09 and actively maintained (most recent release 2026-08-11), the package is in Beta status and requires Python 3.9 or later. It carries no known security vulnerabilities and uses a permissive MIT License. With roughly 619277 monthly downloads and a position in the top 15000 PyPI packages, it has found modest adoption in the ML community.","worth_installing":"Yes, if you use PyTorch and einops regularly. Low install friction, active maintenance, permissive license, and no known vulnerabilities make it a safe addition. The Beta status and modest documentation suggest it's best suited for developers comfortable exploring a smaller utility library rather than a mature framework. Check the repository for specific functions that match your tensor manipulation needs."},"id":"torch-einops-utils","links":{"html":"https://skillfed.io/packages/torch-einops-utils","md":"https://skillfed.io/packages/torch-einops-utils.md","pypi":"https://pypi.org/project/torch-einops-utils/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"torch-einops-utils","python_support":"supports_current","summary":"Personal utility functions"},"popularity":{"monthly_downloads":619277,"position":5730,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.19"}
