DataCamp 每月有 6,237,230 次造訪,月增率 -0.4%,定價模式為免費增值。Models.dev 每月有 200,451 次造訪,成長率 -3.9%,定價模式為免費。
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | datacamp.com | models.dev |
| 定價模式 | 免費增值 | 免費 |
| 每月造訪次數 | 623.72萬 (6,237,230) | 20.05萬 (200,451) |
| 月流量變化量 | -2.64萬 (-0.4%) |
| -8167 (-3.9%) |
| 主要市場與市佔 | 🇺🇸 美國 (23.7%) | 🇨🇳 中國 (23%) |
|---|
| 每月直接造訪 | 247.13萬 | 13.63萬 |
|---|
| 使用者評分 | 4.6 | 4.4 |
|---|
| 支援平台 | 網站 | 網站 |
|---|

資料科學、AI 與分析技能的互動式課程平台
在瀏覽器中完成 Python、SQL、R 等短練習,立即取得回饋,真正動手寫程式。
針對資料分析師、資料科學家、AI 工程師等角色的結構化路線,把課程串成連貫課程體系。
AI 基礎、SQL Associate、資料分析師等考試,讓你向雇主展示已驗證的技能。
平台內 AI 助手可解釋概念並排查程式碼,同時提供 OpenAI API、提示工程與建構 AI 應用的課程。

開源 AI 模型資料庫,價格與能力一目了然
每個模型採用統一的 provider/model 格式,方便跨供應商直接對比同一模型。
並排查看上下文視窗、輸出上限、推理、工具呼叫、結構化輸出與溫度支援。
列出每百萬 token 的輸入輸出價格,並標註發布與更新日期。
在一個可排序目錄中同時涵蓋閉源旗艦 API 與各實驗室的開放權重模型。

專項更強Combines technical assessments and practice-based engineering learning, but targets hiring and technical screening more heavily.

專項更強Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
專項更強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.

專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
專項更強Combines technical assessments and practice-based engineering learning, but targets hiring and technical screening more heavily.
專項更強自適應線上備考,貼合你的學習節奏
專項更強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.
專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
專項更強將課程大綱轉化為互動式電腦科學課程與程式碼實驗室,但現成內容較少。