Giskard
7.6#4 in ai security testing toolsFree planFree planWebAPILinuxSelf-hosted
VisitGiskard vs Project Moonshot
Project Moonshot
6.9#7 in ai security testing toolsFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Giskard | Project Moonshot |
|---|---|---|
| Custom evaluations | Professional includes domain-specific dataset generation, fine-grained RAG metrics, customizable checks and interoperability with other evaluation platforms. | Users can create recipes using their own datasets, optional prompt templates, evaluation metrics, and grading scales. |
| Founded | 2021 | 2024 |
| Integrations | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. | Users can configure connections to their LLMs and create custom connector endpoints through the Web UI or CLI guides. |
| Purpose | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. | Project Moonshot is an open-source toolkit for testing the safety and reliability of LLMs and LLM applications through benchmarking and red teaming. |
Giskard plans
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
Project Moonshot plans
- Project MoonshotFree
Pick Giskard if…
Giskard suits teams responsible for evaluating conversational AI agents through API endpoints before release. It also fits organizations needing enterprise red-team scans, custom evaluations, human review, or controlled deployment options.
Pick Project Moonshot if…
It suits AI developers and compliance teams evaluating LLMs and applications built with them. It can also fit teams that need custom tests or self-hosted deployment.