Versions:

  • 0.1.5

hyperdu is a directory space analyzer developed and published by Jaret Varn. The software is designed to examine storage usage across directories, giving users a way to understand how disk space is distributed on their systems. Its purpose is to help identify which folders and files consume the most storage, which supports practical tasks such as cleaning up drives, locating unexpectedly large directories, planning storage allocation, and monitoring disk usage over time. hyperdu operates within the terminal, meaning it is run from a command-line interface rather than a graphical desktop environment. This terminal-based approach makes it suitable for users who work primarily in shells, for environments without graphical interfaces such as remote servers accessed over SSH, and for integration into scripted workflows where command-line tooling is preferred. The software is characterized as high-performance, indicating an emphasis on speed and efficiency when scanning and analyzing directory structures, which is relevant when working with large filesystems containing many files and nested folders. It is also described as cross-platform, meaning it is intended to function across multiple operating systems rather than being restricted to a single platform. This broad compatibility allows users in mixed environments to rely on the same tool regardless of the operating system in use. The current version of hyperdu is 0.1.5. Only one version of the software has been released, so version 0.1.5 represents both the latest and the sole published release at this time. The version numbering, beginning with a zero major version, reflects an early stage of the project's development history. Within a software catalog, hyperdu falls into the category of disk and storage analysis utilities, and more specifically into command-line system tools. It is relevant to system administrators, developers, power users, and anyone who needs a lightweight, terminal-based method of inspecting directory sizes and managing disk space across different platforms.

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