Beginner score
30/100
Competition workspace
适合能围绕开源治理或运营场景，把开放数据做成可运行应用的学生、工程师或个人开发者。参赛者需要能上手至少一个指定开源项目，并具备数据分析、可视化或社区治理工具开发中的一项实际能力；个人或最多三人的团队均可参加。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合能围绕开源治理或运营场景，把开放数据做成可运行应用的学生、工程师或个人开发者。参赛者需要能上手至少一个指定开源项目，并具备数据分析、可视化或社区治理工具开发中的一项实际能力；个人或最多三人的团队均可参加。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
开放数据分析
开源项目二次开发
数据可视化
Git 与开源协作
README 与技术文档编写
PPT 路演答辩
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是提出分析想法，而是要将其落地为规范开源、可运行且可展示的完整作品：复赛需同时提交代码和完整PPT，决赛还要现场演示与答辩。评分同时看数据分析、可视化和交互效果，以及许可证、Git提交记录、README和协作规范，因此从开发到开源交付的完整性会很耗时。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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General MLSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.