Sarus

Repository of classical machine learning models built with TensorFlow and Keras

Also known as
sarus

What is Sarus?

Sarus provides implementations of classical machine learning models using TensorFlow 2's Keras API, with visualization capabilities through TensorBoard.

Independently observed

What Sarus 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.

Capabilities
Generation method
LLM/transformer
Relational integrity
-
Differential privacy
✓
Privacy risk scoring
-
Fidelity utility reporting
✓
Masking included
✗
Deployment
Both
Open source
✓
Ci cd integration
-
Industry focus
Healthcare
SOC2
-
HIPAA available
-
Pricing model
-
Independently observed

Platform & deployment

Independently observed
Deployment
  • Cloud / SaaS
  • Hybrid
  • On-premise
  • Self-hosted

Integrations (6)

Independently observed
  • Azure
  • Python
  • SQL
  • XGBoost
  • TensorFlow
  • Keras

Sarus FAQ

Common questions about Sarus, answered from independent, dated evidence.

What is Sarus?

A platform enabling organizations to perform analytics and AI on sensitive datasets without exposing the underlying data. It uses differential privacy and synthetic data generation to ensure data protection while delivering analytical results. It is indexed under Synthetic Data.

Source: https://sarus.tech

Can Sarus be self-hosted?

Yes. Sarus can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://sarus.tech

What does Sarus integrate with?

We have confirmed 6 integrations for Sarus, including Azure, Python, SQL, XGBoost, TensorFlow and Keras. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://sarus.tech

Sarus alternatives

Other synthetic data we track, ranked by the same independent score.

All Sarus alternatives, ranked →

Compare Sarus

Side by side against other synthetic data, attribute by attribute, with a source on every value.

Independent · unbought · dated

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 Sarus, not the verdict.

Balanced composite 47 / 100
low · 12%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities580.042.2✓
Integrations240.041.1✓
Price level00.040.0-
Reliability00.070.0-
Security posture00.120.0-
Pricing transparency00.050.0-

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.

Content

AttributeValueEvidence
Faq3 itemsmediumsource · 2026-09-10 · 60%

Features

AttributeValueEvidence
CapabilitiesDeployment: both · Open source: Yes · Industry focus: healthcare · Masking included: No · Generation method: LLM/transformer · Differential privacy: Yesmediumsource · 2026-09-06 · 60%

Integrations

AttributeValueEvidence
Count6mediumsource · 2026-08-21 · 60%
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For the makers of Sarus

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Last updated . Canonical URI: https://www.vioscale.ai/software/sarus.