# MetaboliteDetector: DcBexter/MetaboliteDetector > Source: > Published: 2026-10-24 04:01:08+00:00 ## Evidence at a glance Based on the linked sources. The author's reported result and independent confirmation are separate checks. - AI involvement - Model not reported. Tools: Rust, Cargo. The writeup below describes the work attributed to AI. - Reported result - Works. This is the directory's source-based outcome classification. - Independent confirmation - Not reported. - Human work and limitations - The project uses automated dependency management tools like Renovate and Dependabot, as evidenced by commit logs, but these tools do not contribute to the core metabolomics analysis logic. ### Original sources ## What was done MetaboliteDetector is a Rust rewrite of the 3.3 version designed for deconvolution, identification, and quantification of GC/MS metabolomics data, running natively on Windows and Linux without R or Qt dependencies. MetaboliteDetector is a software application designed for the deconvolution, identification, and quantification of GC/MS metabolomics data. The project serves as a Rust-based rewrite of the legacy MetaboliteDetector 3.3, enabling native execution on Windows and Linux—with macOS support available from source—without requiring R or Qt installations. The README documents that the application maintains compatibility with legacy file formats, allowing it to read files generated by version 3.3. The developer reports that the project includes reverse-engineered documentation detailing the functionality of the original 3.3 version. The application features an automated update mechanism that verifies releases against SHA-256 checksums. While the software provides a graphical user interface for analysis, it also includes `md-cli` for headless batch quantification. Further technical details, including architecture and performance rules, are maintained in the project documentation at [https://raw.githubusercontent.com/dcbexter/metabolitedetector/HEAD/README.md](https://raw.githubusercontent.com/dcbexter/metabolitedetector/HEAD/README.md).