Synthetic data

The lightrider synthesizer reproduces your columns' distributions and correlations, drawing every random value from a quantum source instead of a PRNG. Each dataset ships with a signed manifest of the receipts that fed it.

from lightrider import Synthesizer, EntropySource

synth = Synthesizer(entropy=EntropySource(), dataset_id="customers_v3").fit(df)
rows  = synth.generate(10_000)                  # QRNG-driven synthetic rows
synth.manifest.write("customers_v3.provenance.json")

Generate a provenance certificate

Dataset ID

Certify DP privacy noise from a multi-source extraction

Multi-source DP noise needs ≥2 enabled, online quantum sources. 0 available right now — enable more on the Sources page.

The dataset's signed provenance certificate will appear here.