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  3. OpenDigger 开源软件生态数据分析挖掘平台挑战赛
OpenAtomGeneral MLIntermediateRegistration unverified

OpenDigger 开源软件生态数据分析挖掘平台挑战赛

A intermediate general ml competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合想围绕开源软件生态数据做实际项目的开发者、数据分析学习者和可视化创作者。任务类需要能实现指标、命令行查询模块或机器学习方法;作品类适合能使用可视化工具制作数据洞察报告、Dashboard 或协作网络图的人。

Read the original official blurb
OpenDigger 是一个面向开源软件生态数据的一站式分析挖掘平台,目标是构建开源领域的数据生态,成为促进开源生态持续发展的数据基础设施开源项目。OpenDigger 开源软件生态数据分析挖掘平台挑战赛(OpenSODA)一共两个主题赛(任务类、作品类),同时也设置最佳贡献奖,希望大家取得好成绩的同时,也为全球开源生态做出贡献。 Official category: 实战竞技赛. Organizers: 华东师范大学、开源社. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    Git 与分支协作

  2. 02

    开源许可证基础

  3. 03

    软件开发与代码实现

  4. 04

    数据分析

  5. 05

    数据可视化工具

  6. 06

    技术文档与演示视频制作

Before you commit: 难点不只是完成一个原型,而是要将代码或作品提交到指定仓库,并以可合并、可开源、可协作的项目标准交付。评审还会检查 Git 分支与 Commit 规范、协作历史、文档、演示和可访问性,因此工程化与展示质量会显著影响结果。

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
Mar 2, 2023

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
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
Mar 2, 2023
Source created
Mar 2, 2023
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.