Download- Genp V3.4.14.1.zip -964.78 Kb- Apr 2026
# 4. Add to PATH (if not already) export PATH=$HOME/.local/bin:$PATH
genp plugin list The GUI is packaged as genp-gui inside the same archive. Run: Download- GenP v3.4.14.1.zip -964.78 KB-
| Audience | What they get from GenP | Typical use‑cases | |----------|-------------------------|-------------------| | | A plug‑in ecosystem for custom data transformations, model‑driven synthesis, and reproducible pipelines. | Feature engineering, synthetic data generation, model‑based scenario simulation. | | Software Engineers | A lightweight runtime that can be embedded into CI/CD pipelines, micro‑services, or desktop tools. | Code scaffolding, configuration generation, automated documentation. | | Researchers & Educators | A sandbox with notebooks, visual editors, and an extensible API for teaching algorithmic generation concepts. | Classroom labs, reproducible research, algorithm benchmarking. | | | Researchers & Educators | A sandbox
/// Produce the next item in the stream. fn next(&mut self, ctx: &mut Context) -> Result<Option<Data>>; ctx: &mut Context) ->
genp-gui & The UI opens a canvas where you can drag‑drop generator nodes, connect them, and see live data previews. 5.1 Pipeline Descriptor (YAML) pipeline: name: synthetic‑customer‑data version: 1.0 steps: - id: faker type: python entry: | from faker import Faker fake = Faker() def generate(): return "name": fake.name(), "email": fake.email(), "address": fake.address() - id: enrich type: wasm src: enrich.wasm inputs: [faker] - id: persist type: builtin driver: csv path: ./output/customers.csv inputs: [enrich] The descriptor defines a directed acyclic graph (DAG) . Each step can be a Python snippet, a WebAssembly module, or a built‑in driver. 5.2 Rust Plugin Trait pub trait Generator /// Called once at startup – initialize resources. fn init(&mut self, ctx: &mut Context) -> Result<()>;