Giskard

Open-source testing framework for AI models focusing on quality and safety.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Giskard is an open-source testing framework for AI models that automatically surfaces vulnerabilities, biases, and quality problems in LLMs and traditional ML models. It supports evaluation, red-teaming, and test generation for agentic systems with a modular, async-first design, and includes RAG evaluation and LLM security testing. Optional aggregated telemetry can be disabled. Released under the Apache 2.0 license.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
Apache-2.0
Added
Apr 3, 2026

Related Tools

Featured

Open source LLM engineering platform for tracing and analytics

Open SourceSelf Hosted
Easy
0.0 (0)

Open source platform for the ML lifecycle

Open SourceSelf HostedOffline
Intermediate
0.0 (0)

AI observability and evaluation from Arize

Open SourceSelf Hosted
Easy
0.0 (0)
Featured

ML experiment tracking, visualization, and collaboration

Open Source
Easy
0.0 (0)

Open-source AI metadata tracker for logging and comparing ML experiments.

Open SourceSelf HostedOffline
Easy
0.0 (0)
Featured

CLI and library for testing, evaluating, and red-teaming LLM outputs.

Open SourceSelf HostedOffline
Easy
0.0 (0)
Browse all AI Observability & Evaluation tools