iphysresearch/DataSciComp

• highreadme#1

  Replace README content with a clear archival and redirection message

  原因：

  当前

  <h1>Important!</h1>
  <p>
  This Repo was permanently <b>archived</b> in 2019/10/01. <b>BUT this is not the end！</b><br>
    </p>
    <p>
  With almost 3 months together in joint development, the project has been reborn once more! <br>
  We convert our website from static to dynamic such that everyone can submit a challenge/competition on their own interests. And more functions are coming. Please look forward to it!
  </p>
  <p>
  Click <a href="https://www.datascicamp.com">HERE</a> for our new website! You can also move to <a href="https://github.com/datascicamp/DataSciCamp">Welcome page</a> for more infomations.
  </p>
  
  The archived README text below
  - 以下是存档的 README 原文本
  <div align="center">
    <a href="./favicon.ico">
      
    </a>
    <br>
    <br>
      <h1>Data Science Challenge / Competition Deadlines </h1>
    <p>
        <li>A collection of popular Data Science Challenges/Competitions</li>
        <li>Countdown timers to keep track of the entry deadlines.</li>
      <br><a href="https://www.datascicamp.com">DataSciCamp.com</a>
    <p>
  </div>
  
  > Please *Feel free to star* ⭐ this repo! or open an issue with your suggestions and requests!
  >
  > 欢迎关注微博更新：IPhysResearch . Collected by 土豆 (Herb) in spare time.
  >
  > 联系网站开发者：LeonTian 的知乎主页 . LeonTian (Chief Designer and Developer of DataSciCamp).
  
  > ###### [Description](#description) | [How to Contribute](#how-to-Contribute) | [Data Format](#data-format) | [To-Do](#to-do) | [Feature Requests](#feature-requests) | [FAQ] | [Acknowledgments & other useful listings]

  复制粘贴的修复

  复制

  # Important! This Repository is Permanently Archived.
  
  This repository was permanently archived on 2019/10/01.
  
  The project has been reborn and is now actively maintained at a new location.
  Please visit our new website: [DataSciCamp.com](https://www.datascicamp.com)
  And our new GitHub repository: [datascicamp/DataSciCamp](https://github.com/datascicamp/DataSciCamp)

  待办完成忽略
• mediumabout#2

  Update the repository description to reflect its archived status and new location

  原因：

  当前

  A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

  复制粘贴的修复

  复制

  This repository is permanently archived. For the active project, please visit https://github.com/datascicamp/DataSciCamp and https://www.datascicamp.com.

  待办完成忽略
• lowtopics#3

  Update repository topics to reflect its archived status

  原因：

  当前

  challenge, competition, data-challenge, data-science, data-science-competitions, project

  复制粘贴的修复

  复制

  archived, redirect, data-science

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I find upcoming data science challenges and track their submission deadlines?

  你：未被推荐
  AI 推荐顺序：

  1. Kaggle
  2. DrivenData
  3. Zindi
  4. Analytics Vidhya
  5. Topcoder
  6. Devpost
  7. AIcrowd

  AI 推荐了 7 个替代方案，却始终没点名 iphysresearch/DataSciComp。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools help me monitor data science competition deadlines and project timelines?

  你：未被推荐
  AI 推荐顺序：

  1. Kaggle
  2. Google Calendar
  3. Outlook Calendar
  4. Trello
  5. Asana
  6. Notion
  7. Monday.com

  AI 推荐了 7 个替代方案，却始终没点名 iphysresearch/DataSciComp。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of iphysresearch/DataSciComp?

  pass
  ✓AI 明确点名了 iphysresearch/DataSciComp

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts iphysresearch/DataSciComp in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 iphysresearch/DataSciComp —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo iphysresearch/DataSciComp solve, and who is the primary audience?

  pass
  ⚠AI 未点名 iphysresearch/DataSciComp —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？