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The Open Source Synthetic Data SDK

Create synthetic data locally in your Python environment — no sign-up, no need to upload data anywhere
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Access and work with production data securely, generate high-quality, privacy-safe synthetic data, and seamlessly analyze and share data across teams. With agentic data science at its core, the Platform enables organizations to accelerate AI innovation, streamline workflows, and drive smarter decision-making at scale.

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Built for the Enterprise. Connect to your data within your secure environment. Run on your compute. Gain insights from your production data with the AI Assistant. Leverage synthetic data to broaden data access across your whole organisation.

The Synthetic Data SDK

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Powered by the industry leading TabularARGN model architecture, generate high-fidelity synthetic data with built-in differential privacy, 100x faster training, advanced sampling, and support for complex tabular and textual datasets.

A fully permissive Open Source project under an Apache v2 license.
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!pip install -U mostlyai

# initialize the SDK
from mostlyai.sdk import MostlyAI
mostly = MostlyAI()

# train a generator
g = mostly.train(data="/path/to/data")

# inspect generator quality
g.reports(display=True)

# generate any number of new privacy-safe samples
mostly.probe(g, size=1_000_000)

# generate new synthetic samples to your needs
mostly.probe(g, seed=[{'age': 65, 'gender': 'male'}])

# export and share your generator
g.export_to_file()
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Your data never leaves your environment
Create synthetic data locally in your Python environment - you stay in full control of your data.
Seamless integration
Export your Generators and upload them to the MOSTLY AI Data Intelligence Platform for exploration and sharing.
Synthetic data. Real results.
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