Free
Free
SDV Community is an open-source Python library documented for on-prem use with standard CPUs.
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- SDV Community is an open-source Python library documented for on-prem use with standard CPUs.
SDV
● Identity checkedCode · Vendor site 2026-10-04
The Synthetic Data Vault (SDV) is an open-source Python library for training generative models on tabular data and producing synthetic single-table, sequential, or multi-table datasets on demand. It includes evaluation, visualization, constraints, and an enterprise tier for large relational deployments.
- Category
- Code
- Free access
- SDV Community is an open-source Python library documented for on-prem use with standard CPUs.
- API access
- Not confirmed
Is SDV right for you?
A good fit for
Data scientists and engineers who need private, on-prem synthetic data generation with optional enterprise support.
Before you choose
Advanced scale features require SDV Enterprise licensing rather than the community package alone.
Tabular synthetic data in Python
SDV trains generative models on relational datasets so teams can sample, evaluate, and customize synthetic data locally or with enterprise support.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Core library | Documentation introduces SDV as a Python library for single-table, sequential, and multi-table synthesizers trained on real data. | Facts sourced | 2026-10-04 |
| Evaluation | Docs highlight diagnostic quality measurement and comparison visualizations between real and synthetic data. | Facts sourced | 2026-10-04 |
| Enterprise tier | Welcome page references SDV Enterprise for licensed users with additional scale capabilities. | Facts sourced | 2026-10-04 |
Understand the total cost
SDV pricing & plans
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Explore toolThe practical questions
Frequently asked questions
What is SDV used for?
The Synthetic Data Vault (SDV) is an open-source Python library for training generative models on tabular data and producing synthetic single-table, sequential, or multi-table datasets on demand. It includes evaluation, visualization, constraints, and an enterprise tier for large relational deployments.
Does SDV have a free plan?
SDV Community is an open-source Python library documented for on-prem use with standard CPUs.. This record lists ongoing free access; check the plan limits before starting.
How much does SDV cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use SDV through an API?
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
Advanced scale features require SDV Enterprise licensing rather than the community package alone.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.