Explore/observability/Phoenix (Arize)
P

Arize-ai/Phoenix (Arize)Active

Observability and evaluation platform for LLM and agent applications.

observabilityPythonObservabilityOtelEvals
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Refreshed 2h ago
OverviewActivity52wAlternativesDocs
Stars11.8k
Forks1.2k
HF Downloads—30d
Last commit3h ago
Refreshed2h ago
Project healthActiveLast commit 3h ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
77 / 100
Composite score from 6 signals. How we score →
Active project
77Score
Growth
98A+
Activity
96A+
Documentation
50C
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 80 days observed11.8k +3.45% / 30d
snapshots
Repository activity · 80 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-15
Practical assessment
Should you use it?

✓ Best for

  • Agent tracing in production
  • LLM cost tracking
  • Debugging agent failures

◎ Strengths

  • Integrates with major frameworks
  • OpenTelemetry compatible

✕ Not ideal for

  • Small prototype projects
  • Teams without existing observability culture

⚠ Watch-outs

  • Data retention costs at scale
  • Privacy implications of storing LLM traces
Technical details
What's inside
LanguagePython
License—
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

77
Score 77/100
Above average

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