# DataSynthesizer

> Generates synthetic data that preserves privacy through privacy-preserving statistical techniques

- **Canonical URI:** https://www.vioscale.ai/software/datasynthesizer
- **Category:** Synthetic Data
- **Homepage:** https://github.com/DataResponsibly/DataSynthesizer
- **Also known as:** datasynthesizer
- **Profile claimed by vendor:** no
- **Last updated:** 2026-10-15T21:13:46.881Z

## vioscaleAI score

**30.6 / 100**, confidence 41% (low). Computed 2026-10-15.

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| capabilities | 45.8 | 0.08 | 3.7 | ✓ |
| repo_stars | 46.1 | 0.047 | 2.2 | ✓ |
| integrations | 0 | 0.054 | 0 | - |
| dependent_projects | 8 | 0.054 | 0.4 | ✓ |
| dev_activity | 0 | 0.135 | 0 | ✓ |
| release_cadence | 0 | 0.081 | 0 | - |
| security_posture | 0 | 0.122 | 0 | - |
| package_downloads | 0 | 0.041 | 0 | - |
| security_score | 0 | 0.054 | 0 | - |
| community_qa_activity | 0 | 0.135 | 0 | - |

## Pricing

_As of 2026-10-15, [verify at source](https://github.com/pricing). Independently observed._

Open source · Free tier

## About

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.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Web
- **Deployment:** Self-hosted

## Capabilities

_The capabilities that matter for Synthetic Data. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Capabilities** | |
| 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 |

## Security & compliance


Known vulnerabilities: 0 (0 in the last 12 months) ([source](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=datasynthesizer&per_page=100)). A count reflects scale and disclosure, not quality.

## FAQ

### 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](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](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](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](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.

_Source: [https://github.com/dataresponsibly/DataSynthesizer](https://github.com/dataresponsibly/DataSynthesizer)._


## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://github.com/pricing) | 2026-10-15 | 60% (medium) |
| pricing.price_level | free | [link](https://github.com/pricing) | 2026-10-15 | 60% (medium) |
| pricing.transparent | yes | [link](https://github.com/pricing) | 2026-08-21 | 60% (medium) |
| pricing.model | open_source | [link](https://github.com/pricing) | 2026-10-15 | 60% (medium) |

### adoption

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| adoption.github_stars | 278 | [link](https://github.com/dataresponsibly/DataSynthesizer) | 2026-10-15 | 90% (high) |
| adoption.dependent_repos | 2 | [link](https://packages.ecosyste.ms/api/v1/packages/lookup?repository_url=https%3A%2F%2Fgithub.com%2Fdataresponsibly%2FDataSynthesizer) | 2026-10-15 | 85% (high) |

### language

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| language.primary | HTML | [link](https://github.com/dataresponsibly/DataSynthesizer) | 2026-10-15 | 90% (high) |

### license

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| license.spdx | MIT | [link](https://github.com/dataresponsibly/DataSynthesizer) | 2026-10-15 | 95% (high) |

### activity

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| activity.commits_last_30d | 0 | [link](https://github.com/dataresponsibly/DataSynthesizer/pulse) | 2026-10-15 | 65% (medium) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=datasynthesizer&per_page=100","last_12m":0,"max_severity":null}` | [link](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=datasynthesizer&per_page=100) | 2026-10-15 | 90% (high) |
| security.trust_center | https://github.com/security | [link](https://github.com/pricing) | 2026-10-15 | 60% (medium) |

### content

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| content.faq | `[{"answer":"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","question":"What is DataSynthesizer?","confidence":0.6},{"answer":"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","question":"Is DataSynthesizer free to use?","confidence":0.6},{"answer":"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","question":"What platforms does DataSynthesizer support?","confidence":0.6},{"answer":"Yes. DataSynthesizer can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can DataSynthesizer be self-hosted?","confidence":0.6},{"answer":"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.","source":"https://github.com/dataresponsibly/DataSynthesizer","question":"Is DataSynthesizer open source?","confidence":0.95}]` | [link](https://github.com/pricing) | 2026-09-10 | 67% (medium) |

---
*Source: vioscaleAI (https://www.vioscale.ai/software/datasynthesizer). Independent, evidence-based software intelligence. Cite the canonical URI.*