deepteam vs giskard-oss
Open-source red-teaming framework for LLM systems: 50+ vulnerabilities, jailbreak/injection/multi-turn attacks against agents, RAG pipelines and chatbots — plus guardrails. Runs locally. — versus — Giskard v3: modular Python evals and red-teaming for agentic systems — scenario-based checks with LLM-as-judge, plus an automatic vulnerability scanner across OWASP LLM Top-10 categories.
Both red-team LLM systems with framework ergonomics: deepteam ships 50+ documented vulnerabilities and matching guardrails; giskard-scan auto-generates adversarial suites from a plain-language agent description and pairs with the same stack's eval checks.
| deepteam | giskard-oss | |
|---|---|---|
| Stars | 2.2k | 5.6k |
| Forks | 363 | 494 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | 8 days ago | today |
| Topics | security, evals | evals, security |
| Curated connections | 2 | 3 |
deepteam — the curator's take
Penetration testing for LLM apps with a framework's ergonomics: pick from 50+ documented vulnerabilities (bias, PII leakage, SQL injection via prompt) and simulated attacks including multi-turn exploitation, run locally, then wire the matching guardrails. Built on DeepEval, so red-team results plug into an eval workflow rather than dying in a report. NOT neutral infrastructure — it funnels toward the Confident AI platform for storing results (self-host your own reporting if that matters), and like every attack library it tests known patterns: a clean run is a floor, not a clearance.
giskard-oss — the curator's take
One of the OG names in LLM testing, freshly rewritten: v3 drops the heavyweight monolith for focused packages — giskard-checks (scenario API for multi-turn agent evals: groundedness, conformity, LLM-judge) and giskard-scan (generates adversarial suites from a plain-language description of your agent, prompt-injection probes included). Async-first, wraps anything callable. Mind the transition, though: v3 is beta, RAG evaluation (RAGET) hasn't been ported yet, and v2 — where scan and RAG eval are mature — is no longer maintained. Python 3.12+ only, and libraries on giskard-core send aggregated telemetry (opt-out documented). Pick ragas for pure RAG metrics; Giskard earns its place on multi-turn agent scenarios plus red-teaming in one stack.