# Arize AI vs Openlayer

Arize AI 记录了 249,028 月访问量，月度环比增长为 +3.2%，定价为付费，定价请咨询。Openlayer 记录了 48,415 月访问量，增长率为 -6.4%，定价为免费增值，定价请咨询。

| 指标 | [Arize AI](https://openaitools.app/zh/tool/arize-com) | [Openlayer](https://openaitools.app/zh/tool/openlayer) |
| :--- | :--- | :--- |
| 官网地址 | https://arize.com | https://www.openlayer.com |
| 分类 | Large Language Models (LLMs), AI Agent, AI 监控, AI Developer Tools | AI 测试, AI 监控, Large Language Models (LLMs), AI Developer Tools |
| 定价模式 | 付费，定价请咨询 | 免费增值，定价请咨询 |
| 月访问量 | 249,028 | 48,415 |
| 月度环比增长率 | +3.2% | -6.4% |
| 主要市场 | 美国 | 美国 |
| 直接访问量 | 107,838 | 25,940 |
| 评价得分 | 4.6 | 4.4 |
| 收藏数 | 1 | 1 |
| 支持平台 | 网站 | 网站 |

## Arize AI

Arize 是专为生产环境中运行生成式 AI 的团队打造的 AI 工程平台。产品分为两部分：托管式平台 Arize AX，提供智能体可观测性、评估与实验能力；以及开源追踪与评估库 Phoenix，供需要完全掌控数据的团队自行部署。两者都基于 OpenInference —— 由 Arize 团队主导的开源生成式 AI 追踪语义规范，构建在 OpenTelemetry 之上。

工作流围绕三个问题展开。Observe 通过采集每个 span、trace 与会话，回答智能体究竟做了什么；Evaluate 通过 span、trace、会话三个层级的评估，回答质量在变好还是变差；Learn 让团队在正式上线前测试提示词与运行框架，回答某个改动是否真的有效。面向生成式 AI 的轨迹数据存储 ADB 采用开放格式，可原生对接 BigQuery、Databricks、Snowflake；产品内还内置名为 Alyx 的 AI 工程智能体，用于定位问题并生成可直接审阅的修复方案。

平台支持数十种模型、框架与工具，包括 OpenAI、Anthropic、Google、Amazon Bedrock、LangChain、LangGraph、LlamaIndex、CrewAI 与 DSPy，并公开 SOC 2 Type II、ISO 27001、PCI DSS、HIPAA、GDPR 等合规认证，支持云端、混合与自托管部署。

**定价与套餐:** Arize 采用付费模式并提供免费起点：团队可免费开始或预约演示，企业级用量、部署方式与支持需联系销售获取报价。开源项目 Phoenix 可免费自托管。

- **端到端链路追踪:** 基于 OpenTelemetry 之上的 OpenInference 规范，采集智能体与 LLM 调用的 span、trace 和会话，埋点可跨工具复用。
- **可扩展的评估框架:** 在 span、trace 与会话三个层级运行评估，对海量生产数据衡量检索质量、工具调用与最终回答的优劣。
- **Alyx AI 工程智能体:** 内置于产品中的智能体，可检查链路、推断根因，并给出供工程师上线前审阅的修复建议。
- **Phoenix 开源工具包:** 当需要让轨迹数据留在自有基础设施内时，可自行部署这一领先的开源追踪与评估工具。
- **数仓原生的轨迹存储:** ADB 以开放格式存储轨迹，可原生对接 BigQuery、Databricks 或 Snowflake，与业务数据联合分析。

**优势:** 覆盖观测、评估、改进的完整闭环，而不止于仪表盘; 以 OpenInference 与 OpenTelemetry 标准为基础，降低轨迹格式的厂商锁定风险; 企业级合规能力强，覆盖 SOC 2、ISO 27001、HIPAA、GDPR，并支持自托管; 可对接的模型、框架与智能体 SDK 数量非常丰富

**局限:** 未公开自助定价，成本需要与销售沟通; 功能面广，对刚上线首个 LLM 功能的小团队可能偏重; 要发挥全部价值，需要对整个应用进行规范化的埋点

[工具详情（Markdown）](https://openaitools.app/zh/tool/arize-com.md)

## Openlayer

Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.

**定价与套餐:** Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding.

- **AI test library and custom evals:** Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
- **CI/CD regression testing:** Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
- **Observability, tracing, and cost analytics:** Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
- **Governance registry and lifecycle gates:** Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
- **Compliance mapping and audit evidence:** Built-in frameworks such as the EU AI Act and NIST AI RMF turn policy into tracked rules, so you can see progress per project and export the evidence regulators and auditors ask for.

**优势:** Covers the full loop from pre-release testing to production monitoring and governance in one platform; Strong compliance and risk-mapping capability built for regulated industries; Generous free Basic plan makes evaluation tooling accessible to small teams; CI/CD integration lets quality gates block releases automatically

**局限:** Enterprise pricing is custom-quoted, so costs are not transparent up front; Compliance reporting and the deepest governance features sit behind the Enterprise plan; The breadth of layers can be a lot to adopt at once for teams that only need basic evals; Small free plan limits (one member, five projects) make it a try-it tier rather than a team plan

[工具详情（Markdown）](https://openaitools.app/zh/tool/openlayer.md)

## 常见问题

### Arize AI 和 Openlayer 在月流量上如何比较？

Arize AI 有 249,028 月访问量，而 Openlayer 有 48,415。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

Arize AI 的月度环比增长率为 +3.2%；Openlayer 为 -6.4%。

### 价格如何比较？

Arize AI: 付费，定价请咨询。Arize 采用付费模式并提供免费起点：团队可免费开始或预约演示，企业级用量、部署方式与支持需联系销售获取报价。开源项目 Phoenix 可免费自托管。 Openlayer: 免费增值，定价请咨询。Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/zh/tool/prompts) | 315,624 | -80.2% | 免费增值，定价请咨询，免费 | 擅长实验追踪与模型注册表工作流，但较少针对实时大模型生产可观测性进行专门设计。 | [.md](https://openaitools.app/zh/tool/prompts.md) |
| 2 | [Mindgard](https://openaitools.app/zh/tool/mindgard) | 153,455 | +1.3% | 定价请咨询 | Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities. | [.md](https://openaitools.app/zh/tool/mindgard.md) |
| 3 | [Future AGI](https://openaitools.app/zh/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | 构建、模拟、评估并监控可自我改进的 AI 智能体 | [.md](https://openaitools.app/zh/tool/future-agi.md) |
| 4 | [Maxim AI](https://openaitools.app/zh/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Maxim AI is a platform for evaluating, testing, and monitoring AI applications, and the home of Bifrost, an open-source LLM gateway. It helps teams ship reliable AI features with tracing, evaluation, agent simulation, an | [.md](https://openaitools.app/zh/tool/maxim-ai.md) |
| 5 | [PromptLayer](https://openaitools.app/zh/tool/promptlayer) | 85,899 | -4.6% | 免费试用，定价请咨询 | AI 工程团队的协作层 | [.md](https://openaitools.app/zh/tool/promptlayer.md) |
| 6 | [Confident AI](https://openaitools.app/zh/tool/confident-ai) | 83,400 | -3.3% | 免费增值，付费，定价请咨询 | 在整个组织内统一 LLM 评估、可观测性与红队测试标准 | [.md](https://openaitools.app/zh/tool/confident-ai.md) |
| 7 | [LangWatch](https://openaitools.app/zh/tool/langwatch) | 52,098 | +73% | 定价请咨询 | 面向 AI 平台团队的智能体可观测性、评估与治理 | [.md](https://openaitools.app/zh/tool/langwatch.md) |
| 8 | [Latitude](https://openaitools.app/zh/tool/latitude) | 48,210 | -30.6% | Freemium, Open Source, Enterprise | 开源可观测性：发现 AI Agent 的故障，并直接修复 | [.md](https://openaitools.app/zh/tool/latitude.md) |
| 9 | [Agenta](https://openaitools.app/zh/tool/agenta) | 45,760 | +29.5% | 免费增值 | 用于构建、评估与部署 AI Agent 的开源工作空间 | [.md](https://openaitools.app/zh/tool/agenta.md) |
| 10 | [Fiddler AI](https://openaitools.app/zh/tool/fiddler-ai) | 44,204 | -10.2% | 定价请咨询 | 值得信赖的企业智能体与模型控制平面 | [.md](https://openaitools.app/zh/tool/fiddler-ai.md) |

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来源：https://openaitools.app/zh/compare/arize-com-vs-openlayer

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