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giskard-oss

Giskard-AI/giskard-oss

Open-Source Evaluation & Testing library for LLM Agents

GitHub Website

GraphCanon updated 2w · GitHub synced 2w · 51 views this month

5.7k stars511 forksLast push 2w Python Apache-2.0

Decision brief

Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities.

Good fit when

Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios.
Leverage Giskard if your project requires evaluation modules that can work with both LLMs and black-box systems, making it versatile for different types of agentic evaluations.

Avoid when

Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents.
Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem.

Requirements:: Requires Python 3.12+

Observed Jul 17, 2026 · Source: enrich:decision_facts

giskard-oss alternatives Trust report

giskard-oss vs promptfoo giskard-oss vs vigil-llm

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 2w
Provenance: Not a fork · Organization account; As of 2w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install giskard-oss

PyPI

How it fits your stack(12)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

promptfoo

Both Giskard and PromptFoo offer evaluation and red-teaming capabilities for LLM apps, targeting similar functionality but with different implementations.

alternative

vigil-llm

`Vigil` focuses on protecting against adversarial attacks, while `Giskard OSS` evaluates and red-teams agentic systems. Both tools aim at improving the security/robustness of AI models but in slightly different ways.

alternative

Integrates

opik

Opik could integrate with Giskard OSS to improve testing and evaluation of AI agents due to overlapping focus areas on LLM/agent observability.

integrates

RagaAI-Catalyst

Given Giskard OSS focuses on evaluations and red-teaming which are also covered by RagaAI Catalyst's features, they can be integrated to complement each other for comprehensive testing.

integrates

pyspur

Giskard-OSS focuses on evaluations, red-teaming, and test generation for agentic systems which can directly integrate with PySpur for rapid iteration and testing.

integrates

langfuse

Both Langfuse and Giskard are involved in observability, evaluation, and management of LLMs, but they serve somewhat different purposes within the AI development lifecycle.

ragas

`Ragas` focuses on evaluations of LLM applications, while `Giskard-OSS` covers evals and test generation for agentic systems; both serve different aspects in the evaluation process.

phoenix

Phoenix from Arize AI offers observability and evaluation for AI models, which is complementary to the testing and evaluation aspects provided by Giskard.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

AlternativeIntegratesRelated

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Giskard is an open-source evaluation and testing library for agentic systems in Python, including modules for checks and scanning agent vulnerabilities.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 2, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 2, 2026)

Requires Python 3.12+.

Source link

README

Install

pip install giskard

Requires Python 3.12+.

Telemetry: Libraries built on giskard-core (including giskard-checks) may send optional, aggregated usage analytics to help improve the product. No prompts, model outputs, or scenario text are included. See what is collected and how to opt out.

Giskard is an open-source Python library for testing and evaluating agentic systems. The v3 architecture is a modular set of focused packages — each carrying only the dependencies it needs — built from scratch to wrap anything: an LLM, a black-box agent, or a multi-step pipeline.

Status	Package	Description
✅ Beta	`giskard-checks`	Testing & evaluation — scenario API, built-in checks, LLM-as-judge
✅ Beta	`giskard-scan`	Agent vulnerability scanner — red teaming, prompt injection, data leakage (successor of v2 Scan)
📋 Planned	`giskard-rag`	RAG evaluation & synthetic data generation (successor of v2 RAGET)

For agents

This page has a .md twin and JSON over the API.

/tools/giskard-ai-giskard-oss.md GET /api/graphcanon/tools/giskard-ai-giskard-oss GET /api/graphcanon/graph?tool=giskard-ai-giskard-oss

giskard-oss

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Install

How it fits your stack(12)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Compatibility

Tags

README

Install

For agents