EasyJailbreak vs giskard-oss
LLM jailbreak research compared with agent testing
EasyJailbreak and giskard-oss are Python projects for evaluating security and behavior in language-model systems. EasyJailbreak focuses on assembling jailbreak attacks, while giskard-oss tests agents and RAG applications with repeatable checks and adversarial scans.
EasyJailbreak: Build and Evaluate LLM Jailbreak Attacks
EasyJailbreak is a Python framework for assembling and testing jailbreak methods against language models. It suits researchers and developers who need reusable attack components and a structured way to evaluate model responses.
giskard-oss: Test and Red-Team LLM Agents
Giskard is a Python toolkit for evaluating agent behavior and probing AI systems for vulnerabilities. It suits teams building LLM agents or RAG applications that need repeatable checks, safety testing, and adversarial evaluation.
| EasyJailbreak | giskard-oss | |
|---|---|---|
| Language | Python | Python |
| License | GPL-3.0 | Apache-2.0 |
| Stars | 914 | 5.9k |
| Forks | 92 | 547 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- EasyJailbreak centers on reusable attack components and recipes such as PAIR, GCG, and AutoDAN; giskard-oss centers on scenario-based checks and generated vulnerability tests.
- EasyJailbreak evaluates jailbreak attempts against target models; giskard-oss also evaluates multi-turn interactions, agent traces, and RAG answer grounding.
- EasyJailbreak uses a GPL-3.0 license, while giskard-oss uses Apache-2.0.
- EasyJailbreak supports Hugging Face models and several cloud-hosted integrations; giskard-oss uses modular packages for checks, scanning, LLM routing, and agent orchestration.
- giskard-oss v3 requires Python 3.12 or later, while EasyJailbreak’s provided information does not specify a Python version requirement.
- giskard-oss v2 retains automatic tabular-model scanning but is no longer actively maintained; EasyJailbreak is not archived.
Choose EasyJailbreak if you…
- need to compare implemented jailbreak recipes against selected language models.
- want reusable selectors, prompt mutators, constraints, and evaluators for custom attacks.
- plan to explore published jailbreak methods through a common workflow and dataset interface.
Choose giskard-oss if you…
- need repeatable checks for agents, including multi-turn conversations and traces.
- want to evaluate RAG answer quality and grounding or scan for prompt injection and harmful output.
- are building a Python 3.12+ agent or RAG system and prefer an Apache-2.0-licensed toolkit.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.