langfuse.com's rivals

Provides a platform for orchestrating, evaluating, and observing AI workflows.

Provides observability, telemetry, and debugging for software and artificial intelligence agents.

Provides tools for observability, evaluation, tracing, and experimentation of AI agents. It helps identify issues and suggests fixes for AI agents.

Provides open-source observability for AI agents, enabling tracing, evaluation, and debugging. It automatically identifies agent failures by capturing LLM, tool, and sub-agent calls along with costs and tokens.

Traces large language model calls and AI agents using OpenTelemetry to inspect token usage, cost, latency, and errors.

Provides a continuous feedback loop from evaluations and monitoring for LLM applications. It aims to improve each release by automating the process of understanding performance.

Provides tools for testing and evaluating AI agents to improve reliability for production use. It includes simulations, evaluations, observability, and governance features. Automated AI engineering assists with testing…

Provides observability, evaluation, governance, and runtime policy enforcement for production AI agents.

Provides observability and runtime control for production AI agents. It allows tracing LLM calls, enforcing runtime limits, and investigating failures. Developers can instrument processes using a lightweight SDK, and…

Traces, debugs, and monitors AI agents built with Elixir and the BEAM.

An open-source framework for evaluating LLM applications. It provides 50+ metrics for testing AI agents, RAG, and chatbots. This framework supports building reliable evaluation pipelines.

Provides open-source observability for AI agents to monitor their behavior. It enables insights into AI agent self-healing capabilities.

Provides a platform to trace LLMs and AI agents using OpenTelemetry. It enables running LLM evaluations and managing prompts. Developers can compare models and store API keys using Vault. The platform is available for…

Records, replays, and debugs AI agent executions by tracking LLM calls, tool calls, and errors.

Provides observability for AI agents built on the Vercel AI SDK, tracking costs, latency, tokens, traces, evaluations, and alerts.

Provides open-source observability for AI systems, offering unified monitoring across multiple layers. It correlates data from various layers like frontend, AI/LLM APIs, databases, and networks to analyze signals. The…

Provides an open-source workspace for building, improving, and sharing agents. Agents are developed through chat interactions, and feedback is used for improvement. Deployment can be self-hosted or in the cloud.

Blocks prompt attacks, scores agent trajectories, and traces execution steps for artificial intelligence agents.

Provides a platform for evaluating AI agents in production. It continuously scores agents for quality, drift, and risk. The platform offers features for comparisons, integrations, and support.

Provides tools for AI engineering teams, including agent building, evaluation, and cost tracking. It supports Python and TypeScript agents. It offers features like trace production agents and turn failures into…

Correlates application spans, errors, and AI calls into a single trace using existing OpenTelemetry or Sentry data.

Monitors AI agents in production to detect failures and pinpoint issues quickly. It helps trace problems and verify fixes. It offers real-time alerts for silent agent failures.

Provides real-time tracing, evaluation, and automated rollback for production artificial intelligence applications.

Production infrastructure for large language model applications providing workflow orchestration, evaluation, governance, and model switching.