Xviewerlite ((exclusive)) Jun 2026

The current solution involves installing the native application for every format. However, this approach is unsustainable for three reasons:

Written primarily in Rust and C++ for performance, XViewerLite abstracts the Operating System (OS) calls. This allows for a single codebase that compiles natively to: xviewerlite

The following tests were conducted on a standard reference machine (Intel i5, 8GB RAM, SSD). 2023 Version: 1.0

Replicates the zoom functionality of the physical instruments, allowing users to view large datasets (over 2GP) and simultaneously see the entire waveform alongside a zoomed subset. xviewerlite

XViewerLite employs a plugin-based architecture. The base installation is under 5MB. When a user opens a file, the kernel loads the specific "Renderer Module" required.

Technical Research Division Date: October 26, 2023 Version: 1.0