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DataCamp vs Models.dev
DataCamp 记录了 6,237,230 月访问量，月度环比增长为 -0.4%，定价为免费增值。Models.dev 记录了 200,451 月访问量，增长率为 -3.9%，定价为免费。
DataCamp 记录了 6,237,230 月访问量，月度环比增长为 -0.4%，定价为免费增值。Models.dev 记录了 200,451 月访问量，增长率为 -3.9%，定价为免费。
| 维度 / 指标 |  |  |
|---|---|---|
| 官方域名 | datacamp.com | models.dev |
| 定价模式 | 免费增值 | 免费 |
| 月访问量 | 623.72万 (6,237,230) | 20.05万 (200,451) |
| 月度环比流量变化 | -2.64万 (-0.4%) |
| -8167 (-3.9%) |
| 主要市场与份额 | 🇺🇸 美国 (23.7%) | 🇨🇳 中国 (23%) |
|---|
| 直接访问 / 月 | 247.13万 | 13.63万 |
|---|
| 用户评分 | 4.6 | 4.4 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
数据科学、AI 与分析技能的互动式课程平台
在浏览器中完成 Python、SQL、R 等短练习，即刻获得反馈，真正动手写代码。
面向数据分析师、数据科学家、AI 工程师等角色的结构化路线，把课程串成连贯课程体系。
AI 基础、SQL Associate、数据分析师等考试，让你向雇主展示已验证的技能。
平台内 AI 助手可解释概念并排查代码，同时提供 OpenAI API、提示工程与构建 AI 应用的课程。
开源 AI 模型数据库，价格与能力一目了然
每个模型采用统一的 provider/model 格式，便于跨供应商直接对比同一模型。
并排查看上下文窗口、输出上限、推理、工具调用、结构化输出与温度支持。
列出每百万 token 的输入输出价格，并标注发布与更新日期。
在一个可排序目录中同时覆盖闭源旗舰 API 与各实验室的开放权重模型。
专项更强Combines technical assessments and practice-based engineering learning, but targets hiring and technical screening more heavily.
专项更强Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
专项更强WorkRamp e-LMS, now branded Learn:Up (formerly WorkRamp) as part of Confirm's platform, is an AI-first learning management system for employee, customer and partner training. Built for fast-growing teams, it combines AI role-play simulations, AI content creation and reporting that connects learning to business outcomes.
专项更强Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
专项更强Combines technical assessments and practice-based engineering learning, but targets hiring and technical screening more heavily.
专项更强自适应在线备考，贴合你的学习方式
专项更强Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
专项更强WorkRamp e-LMS, now branded Learn:Up (formerly WorkRamp) as part of Confirm's platform, is an AI-first learning management system for employee, customer and partner training. Built for fast-growing teams, it combines AI role-play simulations, AI content creation and reporting that connects learning to business outcomes.
专项更强Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
专项更强将课程大纲转化为互动式计算机科学课程与代码实验室，但现成内容较少。
