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Opik vs Sensei

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Opik

8.4#1 in mlops platformsFrom $19 a month
Free planWebAPILinuxmacOS
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What both publish

FactOpikSensei
EvaluationOpik supports datasets, experiments, assertions and LLM-as-a-judge metrics for issues such as hallucination, relevance and moderation.It evaluates agents across task execution, reasoning, and self-improvement.
IntegrationsThe integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry.The repository documents HTTP, stdio, OpenAI-compatible, and LangServe adapters for connecting agents.
LicenseThe repository and full platform are released under the Apache-2.0 license.Sensei is distributed under the MIT License.
PurposeOpik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production.Sensei is an open-source qualification engine for testing, evaluating, and certifying AI agents across professional skills.

Opik plans

  • Free CloudFree
  • Open SourceFree
  • Pro Cloud$19 a month
  • EnterprisePriced on request

Sensei plans

No prices published.

Pick Opik if…

Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.

Pick Sensei if…

You want what its maker publishes above — check its page for the details.

Charts they share