CTGAN
Mimesis
CTGAN | Mimesis | |
---|---|---|
2 | 3 | |
1,273 | 4,437 | |
2.4% | - | |
8.3 | 8.4 | |
5 days ago | 10 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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CTGAN
Mimesis
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Mimesis allows you toeasily generate detailed dummy datasets.
Mimesis has well-structured and comprehensive documentation: https://mimesis.name
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Open source
P.S Here is a project I was talking about.
- Mimesis is a fake data generator that can be used in Data Science for generating dummy datasets.
What are some alternatives?
SDV - Synthetic data generation for tabular data
faker - Faker is a Python package that generates fake data for you.
Copulas - A library to model multivariate data using copulas.
fake2db - create custom test databases that are populated with fake data
FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
radar
gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
FauxFactory - Generates random data for your tests.
DeepEcho - Synthetic Data Generation for mixed-type, multivariate time series.
callee - Argument matchers for unittest.mock
aiounittest - Test python asyncio-based code with ease.
pytest-fastapi-deps - This library allows you to easily replace FastAPI dependencies in your tests. Regular mocking techniques do not work due to the inner working of FastAPI.