What is CTGAN?
An open-source tool that learns patterns from real single-table datasets and generates high-quality synthetic data with preserved statistical properties, built on generative adversarial network architecture.
CTGAN pricing
We don't have CTGAN's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What CTGAN does
The capabilities that matter for synthetic data, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Generation method
- GAN
- Relational integrity
- -
- Differential privacy
- -
- Privacy risk scoring
- -
- Fidelity utility reporting
- ✓
- Masking included
- -
- Deployment
- Self host
- Open source
- ✓
- Ci cd integration
- -
- Industry focus
- Horizontal
- SOC2
- -
- HIPAA available
- -
- Pricing model
- -
Platform & deployment
Independently observed- CLI
- Self-hosted
Integrations (2)
Independently observed- SDV ecosystem
- Python packages
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
CTGAN alternatives
Other synthetic data we track, ranked by the same independent score.
- Tonic.aiGenerate synthetic data that mimics production patterns for testing and AI model trainingmedium · 56%
- K2viewUnified data platform that consolidates fragmented enterprise data sources and provides governed, real-time access with built-in compliancelow · 7%
- YData SyntheticAutomated platform for data profiling and privacy-compliant synthetic data generation at scalelow · 26%
- SynthoCreate realistic synthetic test data that protects privacy while maintaining production-like characteristicslow · 15%
- DataSynthesizerlow · 23%
- TSGMlow · 27%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for CTGAN, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Price level | 100 | 0.05 | 5.2 | ✓ |
| Capabilities | 46 | 0.08 | 3.8 | ✓ |
| Release cadence | 61 | 0.05 | 3.2 | ✓ |
| Pricing transparency | 25 | 0.08 | 2.1 | ✓ |
| Security score | 45 | 0.04 | 1.9 | ✓ |
| Development activity | 19 | 0.09 | 1.8 | ✓ |
| Stars | 60 | 0.03 | 1.6 | ✓ |
| Dependent projects | 25 | 0.06 | 1.6 | ✓ |
| Integrations | 14 | 0.09 | 1.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 3 | mediumsource · 2026-08-26 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: self_host · Open source: Yes · Industry focus: horizontal · Generation method: GAN · Fidelity utility reporting: Yes | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |