{"repo":"dataxid/dataxid-python","free":true,"listed":false,"github":"https://github.com/dataxid/dataxid-python","clone":"git clone https://github.com/dataxid/dataxid-python.git","description":"The Synthetic Data API. Generate privacy-safe synthetic data with 5 lines of code.","language":"Python","stars":25,"topics":["data-privacy","machine-learning","privacy","synthetic-data","synthetic-data-generation","synthetic-data-generator","dataxid-sdk","synthetic-data-api"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"DataXID Python SDK High-fidelity synthetic data generation for single-table, multi-table, and time series data. Installation Quick Start Multi-Table & Time Series Synthesize related tables with referential integrity. Child tables are generated sequentially by default — preserving realistic per-entity patterns like transaction counts, temporal ordering, and sequence lengths. Per-table generation controls are passed as dicts keyed by table name: Iterative workflow When you want to train once and generate many times — for example, running several sampling strategies against the same model — split the call into Model.create and model.generate : How It Works DataXID is built on a privacy-by-architecture principle. Data encoding and decoding happen entirely on your machine; only abstract embeddings are shared with the API for model training. Raw data never leaves your environment. Configuration Parameter Default Description ----------- --------- ------------- embedding dim 64 Embedding size (larger = more expressive) model size \"medium\" Model capacity: \"small\" , \"medium\" , \"large\" max epochs 100 Maximum training epochs batch size 256 Training batch size privacy Privacy() Privacy config (see below) A plain dict is also accepted for quick experiments: config={\"embedding dim\": 128} . Privacy Privacy settings are grouped under a dedicated Privacy config: Parameter Default Description ----------- --------- ------------- enabled False Add Gaussian noise to embeddings before they leave th","default_branch":null,"files":null,"tree":[],"storefront":"/r/dataxid","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dataxid/dataxid-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}