Opik
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Overview
HEALTH SCORE
Fair
67out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(67/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
47 active maintainers currently have merge rights.
Organization Diversity
Contributors span 1072 organizations.
Project Achievements
Leaderboards
About
Opik is a Python library for optimizing machine learning models and hyperparameters, developed by Comet ML. It provides tools and utilities for efficient model optimization and experimentation tracking.
First commit
Software value
$55M
Tags
evaluation
hacktoberfest
hacktoberfest2025
langchain
llama-index
llm
llm-evaluation
llm-observability
llmops
open-source
openai
playground
prompt-engineering
License(s)
Apache-2.0
Data sources
Git
GitHub