opik vs langwatch
LLM application testing and monitoring compared
opik and langwatch both help teams evaluate and monitor LLM applications and agents. opik emphasizes tracing, datasets, and evaluation, while langwatch adds simulation testing, an AI gateway, and governance workflows.

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.

langwatch: Test and Monitor LLM Applications and AI Agents
LangWatch helps teams evaluate, test, and monitor LLM applications and AI agents in production. It combines observability, simulation testing, prompt management, an AI gateway, and governance, with cloud and self-hosted options.
| opik | langwatch | |
|---|---|---|
| Language | Python | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 22.8k | 4.9k |
| Forks | 1.9k | 405 |
| Last analyzed | Oct 22, 2026 | Oct 3, 2026 |
Key differences
- opik captures nested traces across model calls, tools, retrieval, and agent workflows; langwatch also offers simulation tests, including for voice agents.
- opik includes heuristic and LLM-as-a-judge metrics and a PyTest integration for CI/CD; langwatch highlights coding-agent session analysis and usage costs by pull request or team.
- langwatch includes an OpenAI- and Anthropic-compatible gateway with virtual keys and budgets, plus workflows for identifying organizational AI tools; these are not listed among opik's features.
- opik is written in Python and langwatch in TypeScript; both use the Apache-2.0 license for their core projects.
- opik can be run locally with Docker Compose and documents Kubernetes and Helm; langwatch self-hosting requires Node.js, with production deployment guidance provided separately.
- opik has 22.4k stars and 1.8k forks, while langwatch has 4.9k stars and 405 forks. langwatch notes that its enterprise modules require a commercial license for production use, while its SDKs are MIT-licensed.
Choose opik if you…
- need nested traces to debug model, tool, retrieval, and agent workflows.
- want to build datasets, compare experiments, and assess outputs with built-in metrics.
- prefer Python tooling or want to run evaluations in CI/CD with the PyTest integration.
Choose langwatch if you…
- need simulation tests for agents, including voice agents.
- want a shared model gateway with virtual keys, budgets, and provider routing.
- need to inspect coding-agent sessions, analyze usage costs, or support organizational AI governance.
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.