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

“OpenRank杯”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。

Read the original official blurb
OpenRank 开源数字生态分析与应用创新赛(OpenSODA)致力于利用开源工具集,鼓励参赛者在开源数字生态中的不同应用场景中进行创新实践。参赛者需要从大赛提供的开源工具集(IoTDB、OpenDigger、EasyGraph、MaxKB、SQLBot、DataEase)中选择至少一个项目,利用开源数据生态中的开放数据进行创新应用开发,并以开源项目的形式提交作品。同时,为了鼓励更多的开源协作精神,大赛特别设立了“开源贡献奖”,通过 OpenRank 评价体系对在开源贡献中表现突出的开发者进行奖励。 Official category: 实战竞技赛. Organizers: 华东师范大学. Competition code: 2025OAC059. Participants: 3.

Preparation

From registration to a first submission

  1. 01

    开放数据分析

  2. 02

    开源项目二次开发

  3. 03

    数据可视化

  4. 04

    Git 与开源协作

  5. 05

    README 与技术文档编写

  6. 06

    PPT 路演答辩

Before you commit: 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。

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
Oct 13, 2025

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.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Oct 13, 2025
Source created
Oct 13, 2025
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.