
Arize Phoenix
The open-source platform for agent development & evaluation
Quick Answer
AIArize Phoenix is an open-source, local-first platform for AI observability and evaluation, enabling developers to trace, evaluate, and improve LLM applications and agents. It processes 1 billion evals per year and has 5 million downloads per month. Best for AI engineers and MLOps teams needing transparent debugging and evaluation with local data control. Free to use; managed Arize AX starts from $50/month.
Arize Phoenix is an open-source platform for AI observability and evaluation, designed for developers to trace, evaluate, and improve LLM applications and agents. It integrates with popular frameworks like LangChain and LlamaIndex, offering local-first deployment for full data control. Phoenix helps debug, measure quality, and monitor performance of AI systems.
Phoenix is the leading open-source, local-first platform for AI observability and evaluation, built on OpenInference and OpenTelemetry standards, offering complete control over data and seamless integration with existing AI stacks.
Decision Intelligence
Best For
AIConsider Alternatives If
AI
Type
Free Trial
No
Credit Card
Not Required
Free Plan
Yes
Dimension Scores
· 7.3 avgHow good it is, across universal quality axes
Task Scores
· 7.6 avgWhat it can do, on category-specific tasks
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- +Open-source and local-first for full data control and transparency
- +Built on open standards (OpenInference, OpenTelemetry) for broad interoperability
- +Comprehensive evaluation framework for agents and LLM applications
- +Integrates with a wide range of AI models and frameworks
- +Supports self-hosting for flexible deployment
- +Strong community support and active development
- -Primarily focused on observability and evaluation, not a full MLOps platform
- -Requires technical expertise for self-hosting and advanced configurations
- -Community support is the main channel for free users, not dedicated support
- -Limited to 25k spans/month and 1GB ingestion for the free SaaS tier (Arize AX)
- -Phoenix is local-first, requiring manual setup for cloud deployment
Complexity
Company Size
Target Team Size
Target Skill Level
Privacy & data handling
Compliance audit trail
4 events- GDPR
Privacy Policy updated
This month · 2026-08-11 · source
- SOC 2
SOC 2 Type II certified
7mo ago · 2026-01-01
- HIPAA
HIPAA compliant
7mo ago · 2026-01-01
- GDPR
GDPR compliant
7mo ago · 2026-01-01
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Agent framework & high-performance runtime for multi-agent systems

Build custom AI agents and RAG applications with open AI orchestration
Tracing for AutoGen agent framework
ML integration for Algorithmia
Tracing for Anthropic LLM provider
ML integration for Anyscale
Auto-updated
Build a StackTrust Score
Very Good
Based on 11 data signals
Confidence: Medium
Reflects publicly available data, not an independent audit
Not yet checked
Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For, Description, Limitations, Not Good For, Pros, Quick Answer, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Switching & Migration
Slack + GitHub
- 25k spans per month
- 1 GB ingestion per month
- 15 days retention
- SaaS deployment
- Unlimited users
- Unlimited evals
- 50k spans per month
- 10 GB ingestion per month
- 30 days retention
- SaaS deployment
- Unlimited users
- Unlimited evals
- 10 issues/month Signal
- Email support
- Standard SLAs
- Custom trace spans
- Custom ingestion volume
- Custom retention
- SaaS or Self-Hosted deployment
- Unlimited users
- Unlimited evals
- Unlimited Signal issues
- Unlimited Signal PRs
- Multi-modal tracing support (image, voice, pdf)
- Datalake sync with ADB Data Fabric
- Agent trajectory visualizations (path and graph)
- Custom dashboards
- Custom metrics
- Custom monitors
- Custom views on traces
- Online evals on traces/spans
- Offline evals on datasets & experiments
- Custom code evaluators
- Agent as a judge
- Align evaluators
- Trace Evals: Evaluate agent trajectories
- Session Evals: Evaluate multi-turn conversations
- Multi-modal evaluation (image, voice, pdf)
- Human annotations and feedback
- Labeling queues
- Playgrounds
- Datasets
- Experiments
- Prompts
- Agent Experimentation: Run your agent in playground
- Prompt serving and versioning
- Trace replay in playground
- Multi-prompt comparison
- Prompt Learning (PL) optimization
- Orchestrate sandboxed managed debugging agents
- Swarm observability across managed and third-party agents
- Always-on issue detection with Signal
- Agent as a judge
- Self-hosted deployments
- Enterprise SSO
- Audit logs
- SOC 2 Type II
- GDPR
- HIPAA
- Data region: US or EU or CA
- Organization and space RBAC
- Service accounts
- Dedicated troubleshooting support
- Industry education workshops
- Invites to exclusive event
- Arize Customer Advisory Board
- Custom SLAs
Pricing verified from the vendor pricing page.
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Who It's For3 rolesSoftware DevelopersData ScientistsComputer and Information Research Scientists
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