SVRemove

SVRemove is a command‑line utility that is part of the SV Tools collection, which provides a set of standalone scripts for managing and cleaning up data files in scientific computing environments. The tool is designed to remove specific file types or content that match a user‑defined pattern from a directory or a set of directories. It can delete whole files or strip away particular sections from files that contain encoded metadata or secondary data streams. SVRemove was first released as an open‑source project in early 2021 by the Scientific Visualization Group at the University of Metropolis. The project was created to support large hierarchical datasets where automated cleanup was necessary to reduce storage overhead and improve processing speed.

SVRemove supports a range of command‑line options. The –pattern option accepts glob or regular expression syntax to select files, and –recursive allows operation through nested subdirectories. An optional –preview flag shows the list of files that would be deleted without making changes. When run with the –force flag the utility deletes the targeted files without asking for confirmation. By default SVRemove emits a summary report upon completion, listing the number of files removed and the total space reclaimed. The source code is written in Go, making it cross‑platform and easy to compile for Windows, Linux, or macOS.

The tool’s design leverages a clean separation between file‑selection logic and file‑removal logic, allowing developers to integrate it into larger pipelines. Community contributions are accepted through GitHub, and the project’s documentation includes examples for removing file types in high‑performance computing workflows, cleaning up data archives, and preparing datasets for downstream analysis. References to the official repository and documentation are provided in the project’s README, which also contains a license and a changelog.