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  3. OpenRank开源数字生态分析与应用创新赛
OpenAtomGeneral MLAdvancedRegistration unverified

OpenRank开源数字生态分析与应用创新赛

A advanced general ml competition requiring roughly 24–80 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
24–80 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

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。

Read the original official blurb
OpenRank开源数字生态分析与应用创新赛(OpenSODA)旨在利用开源工具集,支持参赛者在开源数字生态的各类应用场景中进行创新实践。参赛选手必须从开源工具集(IoTDB、OpenDigger、EasyGraph、Data4AGI)中选择至少一个开源项目,利用开源数据生态中的开放数据进行应用创新,并以开源项目的形式提交作品。同时,为鼓励开源协作,大赛特别设立了“开源贡献奖”,通过OpenRank评价体系,奖励在开源贡献方面表现卓越的开发者。 Official category: 实战竞技赛. Organizers: 华东师范大学. Participants: 3.

Preparation

From registration to a first submission

  1. 01

    OpenDigger、IoTDB 或 EasyGraph

  2. 02

    开放数据分析

  3. 03

    数据可视化

  4. 04

    Git 分支与 Commit 规范

  5. 05

    开源许可证合规

  6. 06

    技术文档与演示视频制作

Before you commit: 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。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Nov 2, 2024

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Nov 2, 2024
Source created
Nov 2, 2024
Published on this site
Jul 21, 2026

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.