TL;DR — Opik combines tracing and evaluation so you can inspect real runs and grade output quality with datasets and judges.
What it is
Opik is an open-source LLM observability and eval platform from Comet. It stores traces, prompts, outputs, and benchmark runs.
Why it exists
You need both runtime visibility and quality scoring. Opik closes the loop between production traces and evaluation pipelines.
Install
pip install opik
Basic usage
from opik import Opik
# log traces and prompts
# run evaluations on collected datasets
When to use, when to skip
Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.
Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.
Alternatives
Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.
Verified against project documentation, June 2026.