Test Data Generation

For software development teams who need realistic test data for testing their software, this Test Data Generation library is a light-weight module that implements Markov decision process machine learning to quickly and easily profile sample data, create an algorithm, and produce representative test data without the need for persistent data sources, data cleaning, or remote services. Unlike other solutions, this open source solution can be integrated into your test source code, or wrapped into a web service or stand-alone utility.

Test Data Generation on Crates.io


extern crate test_data_generation;
use test_data_generation::data_sample_parser::DataSampleParser;

fn main() {
    let mut dsp =  DataSampleParser::new();  

    dsp.generate_csv(100, &String::from("./tests/samples/generated-01.csv")).unwrap();
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