Galileo vs Radicalbit AI Monitoring

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.

Radicalbit AI Monitoring is a free, self-hosted platform for monitoring production LLM and machine-learning model effectiveness and reliability. It checks numerical and categorical data for anomalies, missing values, and outliers, then tracks metrics over time. Available model measures include Precision, Accuracy, Recall, F1, MSE, MAE, Perplexity, and Probability. Drift detection offers Kolmogorov-Smirnov, PSI, Wasserstein, Jensen-Shannon, Chi-square, Kullback-Leibler, and Hellinger methods. Reference and current datasets can be compared for data quality, model quality, and drift. LLM tracing records requests, prompts, and tools and displays sessions, traces, and spans with hierarchy and metadata. Documentation for version 1.4.0 focuses on binary and multiclass classification and regression, with more model types planned. A web UI, Python SDK, and REST API are provided. Local deployment uses Docker Compose with K3s and MinIO or AWS S3.