Best Giskard Alternatives ranked by AI · updated Sep 2026

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Giskard is an AI testing platform that evaluates machine learning and generative AI systems for performance, bias, robustness, and security risks. It serves data science and governance teams with automated scans and test suites.

Developer: Giskard Price: Free, enterprise plans available 🎯 giskard.ai

Top 6 Giskard alternatives

2 Moonshot Library logo

Moonshot Library

AI Verify Foundation

Moonshot is an open-source toolkit for red-teaming and evaluating the safety of large language models. It is aimed at AI safety researchers,...

Pros

  • Purpose-built for LLM safety and security testing
  • Open-source and extensible with custom scenarios
  • Supports repeatable red-team evaluations

Cons

  • Smaller ecosystem than Inspect AI or Promptfoo
  • Requires more technical setup than hosted evaluation platforms
  • Less suited to broad application testing and observability
3

DeepEval

Confident AI

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

Pros

  • Easy to add LLM evaluations to Python test suites
  • Includes metrics for faithfulness, relevance, bias, and safety
  • Good fit for CI-based regression testing

Cons

  • Less complete production observability than Langfuse or Phoenix
  • Python-centric compared with browser-based platforms
  • Some advanced collaboration features require the hosted service

Free open source; hosted platform available

4

Promptfoo

Promptfoo

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

5

Inspect AI

UK AI Security Institute

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
6

Garak

NVIDIA

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

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