# Opik

> Debug, evaluate and monitor LLM apps

Tracing, automated evaluations and production dashboards.

- Source: https://github.com/comet-ml/opik
- Homepage: https://www.comet.com/docs/opik/
- License: Apache-2.0
- Language: Python
- Stars: 22344
- Forks: 1835
- Contributors: 159
- Last commit: 2026-10-02
- Latest release: 2.2.88 (2026-10-02)
- Purpose: AI & LLM tooling, Evals & observability
- Runs on: Docker / self-host, Library / SDK
- For: Personal, Enterprise

## Worth score: 80/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 22/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 12/15
- Readiness: 11/15

## Alternatives

- [MLflow](https://diggithub.com/mlflow/mlflow.md): Open-source AI engineering platform
- [Phoenix](https://diggithub.com/Arize-ai/phoenix.md): AI observability and evaluation
- [promptfoo](https://diggithub.com/promptfoo/promptfoo.md): Test and red-team LLM apps
- [Langfuse](https://diggithub.com/langfuse/langfuse.md): LLM engineering platform: tracing, evals and prompt management
- [SigNoz](https://diggithub.com/SigNoz/signoz.md): OpenTelemetry-native observability
- [DeepEval](https://diggithub.com/confident-ai/deepeval.md): The LLM evaluation framework
- [Sentry](https://diggithub.com/getsentry/sentry.md): Error tracking and performance monitoring
- [Giskard](https://diggithub.com/Giskard-AI/giskard-oss.md): Evaluation and testing for LLM agents

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Source page: https://diggithub.com/comet-ml/opik
Updated: 2026-10-03