ProDG is a Python library for generating synthetic data based on different probability distributions. It's specifically designed for prokaryotic data but can be used for any zero-inflated compositional data.
You can install ProDG using:
git clone https://github.com/Vlasovets/microbe-data-gen.gitHere is a basic example of how to use ProDG:
from prodg import DataGenerator
# create a sample data where rows are bacterial species names and columns are sample names
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=['Sample1', 'Sample2', 'Sample3', 'Sample4'])
# call generator instance
prodg = DataGenerator()
# Fit the models to the data
prodg.fit(df)
# Generate new data
synthetic_data = prodg.generate(df)
# Print the synthetic data
print(synthetic_data)ProDG is licensed under the MIT License.