What is TSGM?
A Python framework for creating artificial time series datasets and assessing their quality across statistical properties, privacy, and usefulness for downstream tasks. Includes pre-configured access to 140+ real-world time series datasets and multiple generative methods.
TSGM pricing
We don't have TSGM'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 TSGM 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
- -
- Relational integrity
- -
- Differential privacy
- -
- Privacy risk scoring
- -
- Fidelity utility reporting
- ✓
- Masking included
- -
- Deployment
- Self host
- Open source
- ✓
- Ci cd integration
- -
- Industry focus
- Healthcare
- SOC2
- -
- HIPAA available
- -
- Pricing model
- Open source
Platform & deployment
Independently observed- CLI
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
TSGM 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%
- SarusA privacy-focused analytics and AI platform that protects sensitive data through advanced privacy techniques.low · 8%
Compare TSGM
Side by side against other synthetic data, attribute by attribute, with a source on every value.
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 TSGM, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Price level | 100 | 0.05 | 5.2 | ✓ |
| Capabilities | 46 | 0.08 | 3.8 | ✓ |
| Release cadence | 51 | 0.05 | 2.7 | ✓ |
| Stars | 44 | 0.03 | 1.2 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Integrations | 0 | 0.09 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Development activity | 0 | 0.09 | 0.0 | ✓ |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 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 | 0 | mediumsource · 2026-08-26 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: self_host · Open source: Yes · Pricing model: open_source · Industry focus: healthcare · Fidelity utility reporting: Yes | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-26 · 95% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=tsgm&per_page=100 · Last 12m: 0 | highsource · 2026-08-26 · 90% |