Open Source · Observability
Arize-Phoenix
Arize Phoenix: Open Source AI Development Platform
Our verdict
We have not reviewed Arize-Phoenix yet
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From the listing
About Arize-Phoenix
Arize Phoenix is an open-source platform for AI development. It provides observability, tracing, and evaluation tools to debug and monitor AI models in production. The platform is community-driven and integrates with common machine learning frameworks.
Best for
Developers and teams needing an open-source observability layer for AI applications
Use cases
- Debugging AI model performance in production
- Monitoring model drift and data quality
- Tracing AI application behavior for root cause analysis
Pros
- Free and open source with no licensing costs
- Active community support and frequent updates
- Integrates with popular ML frameworks like PyTorch and TensorFlow
Cons
- Requires self-hosting and infrastructure setup
- Limited enterprise support compared to vendor-backed tools
- Documentation and tutorials may be sparse for advanced use cases
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
Alternatives
Alternatives to Arize-Phoenix
| Record | Type | How we know | Checked |
|---|---|---|---|
| lm-evaluation-harnessThis is an alternative to it | Open source | Named in the listing | Not dated |
| OpenAI EvalsThis is an alternative to it | Open source | Named in the listing | Not dated |
| OpikThis is an alternative to it | Open source | Named in the listing | Not dated |
| promptfooThis is an alternative to it | Open source | Named in the listing | Not dated |
| RagasThis is an alternative to it | Open source | Named in the listing | Not dated |
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Sources
Where this comes from
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Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
lm-evaluation-harness
Community
A framework for few-shot evaluation of language models.
OpenAI Evals
Community
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Opik
Community
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
promptfoo
Community
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative config
Ragas
Community
Supercharge Your LLM Application Evaluations 🚀
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