{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"Provides utility functions for dynamic N-dimensional array slicing and parallel processing with progress tracking, built on a scientific computing stack.","skillfed_tags":["array-slicing","parallel-processing","computer-vision"],"use_cases":["Dynamically slice N-dimensional medical or scientific imaging arrays without knowing dimensionality in advance.","Run parallel image processing tasks with live progress tracking and ordered results.","Access ACVL's internal utility implementations for array manipulation in computer vision pipelines.","Integrate efficient array handling into batch processing workflows for deep learning.","Prototype array operations in research code where runtime dimensionality is variable."],"what_it_does":"acvl-utils is a collection of utility functions and algorithms maintained by the Applied Computer Vision Lab at Helmholtz Imaging. It provides a dynamic N-dimensional array slicer that adapts to array dimensionality at runtime, avoiding the need to know dimensions beforehand, and a parallel execution wrapper that combines multiprocessing with tqdm progress bars while maintaining result ordering.\n\nThe package is built on a substantial scientific computing stack\u2014numpy, torch, SimpleITK, scikit-image, connected-components-3d, batchgenerators, and blosc2\u2014making it most suitable for computer vision and image processing workflows. It is actively maintained and has no known security vulnerabilities, but the heavy dependency footprint means installation can be non-trivial.","worth_installing":"Yes, if you are working in computer vision or image processing and need dynamic array slicing or parallel processing with progress bars. The heavy dependency footprint means you should verify compatibility with your environment first. No security concerns; actively maintained."},"id":"acvl-utils","links":{"html":"https://skillfed.io/packages/acvl-utils","md":"https://skillfed.io/packages/acvl-utils.md","pypi":"https://pypi.org/project/acvl-utils/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-09","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"acvl-utils","python_support":"unspecified","summary":"Super cool utilities that we just love to use"},"popularity":{"monthly_downloads":98333,"position":13092,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.6"}