nhatkhangcs/synthetic_generator
Synthetic Data Generator for Machine Learning Pipelines
This tool helps data professionals, researchers, and developers create large datasets that look and act like real-world information, without using sensitive actual data. You provide a blueprint (or an existing dataset for reference), and it generates new tables filled with artificial entries. The output is a realistic, structured dataset that can be used for testing applications, training machine learning models, or prototyping.
No commits in the last 6 months. Available on PyPI.
Use this if you need to generate realistic, structured datasets for various applications like software testing, model training, or system prototyping, especially when real data is scarce or sensitive.
Not ideal if you need to generate highly complex, unstructured data like images, audio, or free-form text, or if you require advanced privacy techniques beyond basic anonymization.
Stars
33
Forks
4
Language
Python
License
MIT
Category
Last pushed
Sep 02, 2025
Commits (30d)
0
Dependencies
5
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