Alternatives to Judgeval

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

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

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

Voice AI QA and evals: simulate callers before launch, then score every production call on 500+ audio-native metrics.

OpenJudge is an Apache 2.0 open-source AI evaluation framework shipping 50+ benchmark-validated graders for agents, LLMs, code, math, and multimodal models.

Dash0 is OpenTelemetry-native observability with Agent0 doing autonomous root cause analysis and fix PRs.

Galileo is an AI observability and eval engineering platform that turns offline evals into production guardrails for agents and RAG.

Langfuse Prompt Experiments tests prompt changes against real production traces, then ships the winner with versioning and rollback.

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

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

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

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

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

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

Open-source workspace for AI coworkers you run and automate from Slack or Telegram

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

Honeycomb Query Assistant turns plain-English questions into HQL against live production traces, logs, and metrics.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

Comet's open-source platform for tracing AI agents, running LLM-as-a-judge evals, and auditing coding-agent spend.

Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

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

Metoro is a Kubernetes observability and AI SRE agent that watches your cluster with eBPF and opens fix PRs for production issues.

Burntop is a FastAPI, React 19 and Postgres full-stack template that keeps coding agents honest with 200+ end-to-end tests.

Open-source LLM observability and agent evaluation you can trace, score, and self-host on your own infrastructure.

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

Goodfire's Silico is an AI interpretability agent for reverse-engineering, debugging, and steering model internals.

Galileo turns pre-launch AI evals into runtime guardrails that score 100% of agent traffic using distilled Luna models.

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

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.