Respan
LLM tracing, evals, and gateway
The top alternatives to Portkey in the Observability, Prompts & Evals space, compared on features, pricing, and what they're best at.
Updated March 10, 2026
Portkey Observability is the monitoring and analytics component of the Portkey AI platform, providing comprehensive visibility into LLM applications. The platform tracks requests, costs, latency, errors, and user behavior across all LLM providers. Portkey Observability integrates seamlessly with the Portkey AI Gateway, offering unified monitoring for multi-provider AI applications. The platform provides real-time dashboards, alerting, and detailed trace analysis to help teams optimize AI performance and costs. Portkey processes over 10 billion requests monthly with sub-40ms overhead, providing enterprise-grade observability for production AI systems.
Respan
LLM tracing, evals, and gateway
LangSmith
Trace visualization for LLM chains
MLflow
OpenTelemetry-native tracing
Weights & Biases
ML experiment tracking
Langfuse
Open-source LLM observability
Arize AI
ML observability with LLM support
Traceloop
OpenTelemetry
Datadog LLM
LLM monitoring within Datadog platform
Helicone
Braintrust
Real-time LLM logging and tracing
HoneyHive
Prompt management
Patronus AI
Automated LLM evaluation platform
Phoenix
OpenTelemetry-based LLM and agent tracing
Promptfoo
Humanloop
Sentry
Ragas
RAG-specific evaluation framework
DeepEval
LangWatch
Multi-turn agent simulation testing
Galileo AI
LLM output quality evaluation
PromptLayer
Maxim AI
Distributed tracing for LLM and agent apps
Confident AI
DeepEval open-source evaluation framework
Opik
Agenta
Future AGI
Multimodal evaluation (text, image, audio, video)
Lunary
Parea AI
Moda
Hallucination detection
Ashr
Multi-modal synthetic testing
Sentrial
Agent failure root cause analysis
Athina AI
Chamber
ML infrastructure automation
One platform for routing, observability, tracing, and evals across every LLM provider.