Beginner score
30/100
Competition workspace
适合想围绕开源社区或开源项目数据做工具、分析或应用的学生、工程师和个人开发者。参赛者需要能使用 OpenDigger、IoTDB、EasyGraph 中至少一个项目,并能把开放数据分析做成可运行、可开源的作品;个人或不超过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…
适合想围绕开源社区或开源项目数据做工具、分析或应用的学生、工程师和个人开发者。参赛者需要能使用 OpenDigger、IoTDB、EasyGraph 中至少一个项目,并能把开放数据分析做成可运行、可开源的作品;个人或不超过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.
OpenDigger、IoTDB 或 EasyGraph
开放数据分析
数据可视化
Git 分支与 Commit 规范
开源许可证合规
技术文档与演示视频制作
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是完成分析模型,而是要把方案落地为可运行、可访问和可演示的开源项目:代码、文档、可视化/交互效果、演示视频及 Git 协作记录都会被评审。还需处理开源依赖的许可证要求,且不得使用 GPL、LGPL、Mozilla 等强约束性协议的其他开源代码。
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.
Registration is unverified; confirm availability on the official page before investing.
Sign in to save competitions and build your own shortlist.
Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
ModelScope
General MLModelScope
General MLKaggle
General MLKaggle
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.