DataSynthesizer
Generates synthetic data that preserves privacy through privacy-preserving statistical techniques
- Also known as
- datasynthesizer
What is DataSynthesizer?
An open-source Python library that creates synthetic datasets mimicking the statistical properties of real data while applying differential privacy to protect sensitive information. It enables collaboration between data scientists and data owners.
DataSynthesizer pricing
We don't have DataSynthesizer'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 DataSynthesizer 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
- Statistical/copula
- 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
- Open source
Platform & deployment
Independently observed- CLI
- Web
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
DataSynthesizer FAQ
Common questions about DataSynthesizer, answered from independent, dated evidence.
What is DataSynthesizer?
An open-source Python library that creates synthetic datasets mimicking the statistical properties of real data while applying differential privacy to protect sensitive information. It enables collaboration between data scientists and data owners. It is indexed under Synthetic Data.
Source: https://github.com/pricing
Is DataSynthesizer free to use?
DataSynthesizer is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does DataSynthesizer support?
We have confirmed browser-based access to DataSynthesizer. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://github.com/pricing
Can DataSynthesizer be self-hosted?
Yes. DataSynthesizer can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
Is DataSynthesizer open source?
Yes. DataSynthesizer is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
DataSynthesizer alternatives
Other synthetic data we track, ranked by the same independent score.
- Tonic.aiSynthetic data generation platform for accelerating development and testing without exposing sensitive production datahigh · 75%
- YData SyntheticA data platform for creating privacy-compliant synthetic data to improve machine learning model qualitylow · 35%
- K2viewData integration platform that applies privacy controls and governance to enterprise informationlow · 35%
- SarusRepository of classical machine learning models built with TensorFlow and Keraslow · 12%
- SynthoPlatform for generating realistic synthetic test data while preserving data privacy using masking, rule-based, and AI-generated methodslow · 29%
- MOSTLY AISecure access to production data with privacy-protected synthetic data generation for teamslow · 5%
Compare DataSynthesizer
Side by side against other synthetic data, attribute by attribute, with a source on every value.
The vioscaleAI 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 DataSynthesizer, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 46 | 0.08 | 3.7 | ✓ |
| Stars | 46 | 0.05 | 2.2 | ✓ |
| Dependent projects | 8 | 0.05 | 0.4 | ✓ |
| Integrations | 0 | 0.05 | 0.0 | - |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 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 | 0 | mediumsource · 2026-10-15 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: self_host · Open source: Yes · Pricing model: open_source · Industry focus: horizontal · Generation method: statistical/copula · Differential privacy: Yes | mediumsource · 2026-10-15 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | HTML | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-10-15 · 95% |
Pricing
Security
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