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Arize Phoenix vs MathWorks Modelscape Monitor

Arize Phoenix

arize.com

MathWorks Modelscape Monitor

mathworks.com

Side by side

FigureArize PhoenixMathWorks Modelscape Monitor
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Machine Learning Model Monitoring Software8.0 (#8)7.2 (#13)
PurposePhoenix helps teams trace, evaluate, debug, and improve AI applications.Modelscape Monitor tracks financial model performance, health status, and associated automated actions from a centralized view.

Plans

Arize Phoenix

  • PhoenixFree

Arize Phoenix pricing →

MathWorks Modelscape Monitor

  • Modelscape MonitorPriced on request

MathWorks Modelscape Monitor pricing →

In their own words

Arize Phoenix

Arize Phoenix is free, open-source software for tracing, evaluating, debugging, and improving AI applications. It captures model calls, retrieval, tool use, and custom logic as OpenTelemetry traces. Teams can score traces and spans with LLM evaluators, code checks, or human labels. Prompt tools provide versioning, side-by-side testing, and call replay, while dataset experiments compare evaluation results across application versions. Documented integrations include LlamaIndex, LangChain, DSPy, OpenAI, Bedrock, and Anthropic, plus evaluation libraries such as Harbor, Ragas, Cleanlab, and MLflow. Phoenix runs locally or can be self-hosted with Docker, Kubernetes, or a cloud environment; Arize says self-hosting keeps traces in the user’s environment. Self-hosted authentication supports OAuth2 identity providers with an OpenID Connect well-known endpoint. The Phoenix plan costs nothing and leaves trace spans, ingestion, projects, and retention under user management. The project is ELv2 licensed and built by Arize AI and the open-source community.

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MathWorks Modelscape Monitor

MathWorks Modelscape Monitor gives financial-services professionals a centralized view of financial model use, performance and status across the model lifecycle. It can display metrics such as data drift and fairness, while users can define custom metrics and visualizations. Teams can build dashboards and deploy them automatically. When monitoring status changes, Modelscape can email model owners, and evaluations include diagnostic views. The documented drift example uses MATLAB’s detectdrift function. Modelscape supports models built in MATLAB, Python, R, SAS and other programming languages. Its API provides HTTP endpoints usable from JavaScript, Java, Python, C++ and other HTTP-supported languages. Organizations contact MathWorks Consulting Services for hosting, then can install the MATLAB support package through Add-On Explorer. Governance logs every user action for audit compliance. MathWorks positions it for regulation-compliant model risk management and names SS 1/23, SR 11-7, OSFI E-23 and ECB TRIM.

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