Best Moonshot Library Alternatives ranked by AI · updated Sep 2026

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Moonshot is an open-source toolkit for red-teaming and evaluating the safety of large language models. It is aimed at AI safety researchers, developers, and governance teams, with reusable attack scenarios and automated testing workflows.

Developer: AI Verify Foundation Price: Free 🎯 moonshot-ai.github.io/moonshot

🔓 Open Source llm evaluation red teaming ai safety

Top 6 Moonshot Library alternatives

Inspect AI

UK AI Security Institute

💡 Pick it for a broader, research-grade framework covering model, agent, and capability evaluations.

Inspect AI is an open-source framework for evaluating large language models and AI agents. It serves researchers and engineering teams with structured...

Pros

Broader evaluation framework than Moonshot
Strong support for agent and capability evaluations
Well-structured task and scorer abstractions

Cons

Less specialized in security attack libraries than Moonshot
Requires Python development experience
Can take longer to configure for quick adversarial probes

Free

Alternatives to Inspect AI → Visit site

Garak

NVIDIA

💡 Pick it for a focused, automated vulnerability scanner with a large collection of adversarial probes.

Garak is an open-source vulnerability scanner for large language models. It is designed for security researchers and developers who need automated probes...

Pros

More focused on automated vulnerability probing than Moonshot
Includes many ready-made probes and detectors
Runs locally against a wide range of model interfaces

Cons

Less suitable for general quality and capability evaluation
Results can require substantial manual interpretation
Probe coverage varies across model architectures

Free

Alternatives to Garak → Visit site

Pyrit

💡 Pick it when you need sophisticated multi-turn attack orchestration and customizable red-team strategies.

Pyrit is a powerful WiFi cracker that uses the power of CPUs and/or GPUs to crack WPA/WPA2-PSK keys. It is written in...

Free

Alternatives to Pyrit → Visit site

Promptfoo

💡 Pick it for prompt regression tests, CI integration, and LLM security checks in one developer-friendly toolkit.

Promptfoo is an open-source CLI and platform for testing prompts, models, and LLM application behavior. It is aimed at developers who need...

Pros

Fast local and CI workflows for comparing prompts and models
Broad provider support across hosted and local models
Strong red-teaming and security testing capabilities

Cons

Less production tracing than LangSmith, Langfuse, or Phoenix
Reporting and collaboration are more limited in the open-source CLI
Configuration-driven workflows may be less approachable for nontechnical users

Free open source; enterprise plans available

Alternatives to Promptfoo → Visit site

Giskard

💡 Pick it for broader AI governance, bias, robustness, and security testing beyond adversarial LLM attacks.

Giskard is an AI testing platform that evaluates machine learning and generative AI systems for performance, bias, robustness, and security risks. It...

Pros

Covers traditional ML governance as well as LLM testing
Provides more user-facing reporting than Moonshot
Useful for bias, robustness, and performance checks

Cons

Less deep in adversarial red teaming than Moonshot
Broader scope can mean fewer specialized attack techniques
Some collaboration and governance features require paid plans

Free, enterprise plans available

Alternatives to Giskard → Visit site

DeepEval

Confident AI

💡 Pick it for code-first testing of RAG pipelines, agents, and application quality rather than dedicated security research.

DeepEval is an open-source Python framework for testing and evaluating LLM applications with built-in and custom metrics. It is designed for developers...