Galileo vs HELM

Galileo is an observability, evaluation and guardrail platform for generative AI and agentic applications. It provides ready-made evaluations for RAG, agents, safety and security, as well as custom evaluators. Observability tools analyze agent behavior to surface patterns and failure modes, while Galileo Experiments let teams evaluate datasets and prompts systematically and compare results. Evaluation scores can guide agent actions, tool access and escalation paths. Developers can use Python and TypeScript SDKs or the API, with integrations including CrewAI, Google ADK, LangChain and LangGraph, OpenAI, Microsoft Agent Framework, Strands Agents and Vercel AI SDK. Deployment options include SaaS, virtual private cloud and on-premises. The Free plan includes 5,000 traces per month, unlimited users and unlimited custom evaluations. Pro costs $100 a month, billed yearly, and includes 50,000 traces per month; pricing scales with trace volume. SSO supports OIDC and SAML only on a customer's own Galileo cluster, not the free version or hosted app.galileo.ai service.

HELM is an open-source Python framework for evaluating foundation models, including large language and multimodal systems. It supplies standardized datasets and benchmarks such as MMLU-Pro, GPQA, IFEval, and WildBench, with a unified interface for models from providers including OpenAI, Anthropic, and Google. Evaluations can examine accuracy, efficiency, bias, and toxicity, and can include custom metrics, LLM-as-a-judge checks, safety evaluations, and human review workflows. Users can configure private checkpoints or model servers, run inference locally, or send requests to an API. A web interface displays individual prompts and responses, while leaderboards compare models and benchmarks across areas such as medicine, finance, multilinguality, and world knowledge. HELM can reproduce published evaluation results and documents commands for running benchmarks, summarizing results, and starting a local server. It is free, Apache-2.0 licensed, and entered maintenance mode on June 1, 2026.