agentevals vs opik
Trace-based evaluation and observability for AI applications
agentevals evaluates agent behavior from existing OpenTelemetry traces, while opik combines tracing with dataset-based evaluation and production monitoring for LLM applications, RAG systems, and agents. agentevals focuses on scoring recorded runs; opik offers a broader platform for development and deployment workflows.
agentevals: Evaluate AI Agents from OpenTelemetry Traces
agentevals scores AI agent behavior from existing OpenTelemetry traces, without rerunning agents or making extra model calls. It suits teams building instrumented agents that need local evaluation, golden-set checks, or CI quality gates.
opik: Trace, Evaluate, and Monitor LLM Applications
Opik is Comet’s open-source platform for tracing, evaluating, and monitoring LLM applications, RAG systems, and AI agents. It combines framework integrations, datasets and experiments, prompt tools, and production dashboards, with cloud and self-hosted options.
| agentevals | opik | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 162 | 22.8k |
| Forks | 28 | 1.9k |
| Last analyzed | Oct 4, 2026 | Oct 22, 2026 |
Key differences
- agentevals scores existing Jaeger JSON or OTLP traces against golden sets and custom rules; opik also supports datasets, experiments, and evaluation metrics.
- agentevals offers an offline CLI, trace-inspection UI, OTLP receiver, and MCP server; opik includes production monitoring, prompt management, and a Prompt Playground.
- agentevals is designed to evaluate recorded behavior without rerunning agents; opik supports comparing experiments and evaluating application changes.
- agentevals can run basic evaluation locally without a required cloud service or database; opik can be self-hosted or used through Comet Cloud.
- Both projects are Python and Apache-2.0, while opik also provides a TypeScript SDK.
- agentevals warns that it is under active development and breaking changes may occur; opik describes deployment options from local Docker Compose to Kubernetes and Helm.
Choose agentevals if you…
- need to score existing instrumented-agent traces without rerunning the agent.
- want golden-set checks for tool trajectories or responses in a CLI or CI workflow.
- prefer a focused evaluation setup with a local UI and OTLP trace streaming.
Choose opik if you…
- need tracing, evaluation, and production monitoring in one platform.
- want to compare datasets and experiments or assess RAG outputs with metrics.
- need a self-hosted platform, Comet Cloud option, or Python and TypeScript SDKs.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.