Alternatives to Traceloop

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

OpenLIT delivers OpenTelemetry-native LLM tracing, evals, guardrails, and prompt management you self-host free under Apache 2.0.

Open-source OpenTelemetry tracing, versioning, and sessions for Python LLM apps—bring your own backend.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

Chronicle Labs replays your production data to test and validate AI agents before launch.

QuickCompare replays your production LLM traffic on candidate models so you see which behaviours change before you switch.

Slack-native continuous improvement for production AI agents: triage failures, isolate root causes, validate fixes before you ship.

Agent evaluation platform that simulates voice and chat agents, traces production, and scores hallucinations before your customers hit them

AI quality workspace for LLM evaluation, production observability, red teaming, and governance

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Put a hard question to three frontier models — they answer blind, cross-examine each other, and hand back the one answer that survived, with a verdict.

Open-source AI evaluation and observability for LLMs, RAG apps, AI agents, and ML models.

SuperPenguin is AI spend intelligence that attributes every AI dollar to a customer, feature, team, or merged pull request.

Weights & Biases tracks ML experiments, versions models and datasets, and traces LLM apps — now inside CoreWeave Forge

Agnost AI monitors production AI agents, clusters silent failures, and opens a fix for review.

Zero-config local dashboard that shows what your OpenClaw agents actually did, what they cost, and whether they leaked secrets

Nebuly turns the conversations employees and customers have with your AI agents into adoption, fluency and ROI numbers for enterprise leaders.

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

Helicone is an AI gateway and LLM observability platform that routes, caches, and logs traffic across 100+ model providers.

Respan routes every agent run through one LLM gateway, then traces and evaluates it with production evals.

NannyML estimates your ML model's live performance without ground-truth labels and alerts you only when it actually matters

LangWatch Scenario simulates text and voice users against your AI agent, scoring every turn before production does.

Fiddler AI is an enterprise control plane for agent observability, inline guardrails, and auditable AI governance.

Open-source AI agent improvement: trace production runs, detect failures, investigate signals, verify fixes with evals.