RFkit

For compiled executables, please go to Releases page.

RFkit is a freely distributed software package for processing targeted metabolomics data from RapidFire-MS experiments.

What it does

The tool takes the following as input: (i) mzML files containing the data for individual plates, (ii) transition information and (iii) batch log file containing sipping time information from the RapidFire system. The package automatically splices the data into individual injections and reports the total ion intensities of transitions integrated over the analysis time, with edges trimmed to yield expected peak shapes.

Building from source

Once the repository is downloaded:

cd RFkit
cargo build --release

Tests

Run from the repository root with Rust and Node.js 18 or newer installed:

cargo test
cargo test --locked --manifest-path gui/src-tauri/Cargo.toml
node --test gui/tests/frontend.test.cjs
cargo clippy --all-targets -- -D warnings
cargo clippy --locked --manifest-path gui/src-tauri/Cargo.toml --all-targets -- -D warnings
cargo fmt --check
cargo fmt --check --manifest-path gui/src-tauri/Cargo.toml
node --check gui/ui/app.js

The GUI Rust checks require the platform's Tauri build prerequisites and worker sidecar (prepared by the platform build script in gui/). The worker tests use temporary synthetic datasets and invoke the real CLI; they do not modify existing datasets. Frontend tests exercise application functions with lightweight DOM and desktop-bridge substitutes, so native WebView/IPC and canvas rendering still need interactive checks. Reference-dataset and PDF comparisons are separate from these regression suites.