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Data quality: Editorially Reviewed
Benchmarking
Language (LLM / NLP)
Free
Model evaluation
Red Teaming
Self-hosted / on-premises
AI & agent security
MLOps & model tooling
Predictive / classical ML
Private cloud / VPC
On-device / edge
Cross-industry / Horizontal

Giskard OSS

MLOps & model tooling

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Overview

Giskard OSS provides developers with test suites for machine-learning and language-model applications. It supports evaluation of performance, fairness, robustness, hallucination, prompt injection, and other risks before release.

Pricing model
Free
Deployment
Self-hosted / on-premises, Private cloud / VPC, On-device / edge
Regions served
Global
Categories
Benchmarking, Language (LLM / NLP), Free, Model evaluation, Red Teaming, Self-hosted / on-premises, AI & agent security, MLOps & model tooling, Predictive / classical ML, Private cloud / VPC, On-device / edge, Cross-industry / Horizontal
Last updated
6 October 2026
Published
6 October 2026

Use cases

Model evaluation
AI & agent security

Deployment options

Self-hosted / on-premises
Private cloud / VPC
On-device / edge

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
github.com
Sources cited
1
Last reviewed
5 October 2026
Last updated
6 October 2026

Spotted something out of date?

Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.