Galileo vs Pulsar

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.

Pulsar is a free, open-source, self-hosted system for monitoring machine learning models in production. It tracks model drift, concept drift, and performance by comparing incoming behavior with training data used as a baseline. An SDK and containerised ingestion service collect model inputs and outputs into a time series database, supporting historical and real-time data. The current database integration is InfluxDB, and the project is designed for large ingestion volumes without degraded performance. A scheduler checks drift and can trigger standard or customised alerts when metrics reach thresholds. Grafana displays drift measures across selected time ranges and user-defined features. Available drift tests include Kullback-Leibler divergence, Kolmogorov-Smirnov, Levene, and Wasserstein; performance measures include accuracy, recall, F1 score, Brier score, mean squared error, and R2. Deployment logos cover Flask, FastAPI, TensorFlow Extended, Seldon, AWS, Azure, Google Cloud, and Grafana.