Phoenix AI
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
58out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(58/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 3 days.
Bus factor
38 active maintainers currently have merge rights.
Organization Diversity
Contributors span 869 organizations.
Project Achievements
Leaderboards
About
Phoenix AI is an open-source observability and monitoring platform designed for machine learning models and LLM applications. It provides tools for tracking model performance, debugging predictions, and monitoring data quality in production ML systems.
First commit
Software value
$38M
Tags
agents
ai-monitoring
ai-observability
aiengineering
anthropic
datasets
evals
langchain
llamaindex
llm-eval
llm-evaluation
llmops
llms
openai
prompt-engineering
smolagents
License(s)
Other
Data sources
Git
GitHub