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leetcode_problem_rating

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数据分析与数据处理
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项目能做什么

自算的 LeetCode 周赛/双周赛题目难度分
来源:AI 基于仓库事实生成 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# Leetcode Problem Rating Project

[![LeetCode user zerotrac2](https://img.shields.io/badge/dynamic/json?style=for-the-badge&labelColor=black&color=%23ffa116&label=Solved&query=solvedOverTotal&url=https%3A%2F%2Fleetcode-badge.vercel.app%2Fapi%2Fusers%2Fzerotrac2%2Fcn%2F&logo=leetcode&logoColor=yellow)](https://leetcode.cn/zerotrac2/)

[![LeetCode user zerotrac2](https://img.shields.io/badge/dynamic/json?style=for-the-badge&labelColor=black&color=%23ffa116&label=Rating&query=ratingQuantile&url=https%3A%2F%2Fleetcode-badge.vercel.app%2Fapi%2Fusers%2Fzerotrac2%2Fcn%2F&logo=leetcode&logoColor=yellow)](https://leetcode.cn/zerotrac2/)

## Introduction

This frontend project has been deployed to [Github Pages](https://zerotrac.github.io/leetcode_problem_rating/).

The corresponding backend calculates the rating of the problems in leetcode weekly/biweekly contests based on [Elo rating system](https://en.wikipedia.org/wiki/Elo_rating_system) as well as [Maximum likelihood estimation](https://en.wikipedia.org/wiki/Maximum_likelihood_estimation). It is not a 100% accurate result, but sufficient for evaluating the relative difficulty of a problem.

All the data needed during calculation are obtained by web crawlers. In order not to violate any potential terms and regulations, I will NOT open-source the backend code. Moreover, as the APIs are different amongst contests, the result does not contain the problems in 1st-62nd weekly contests.

Please refer to [ratings.txt](ratings.txt) for the raw data sorted in descending order. This will be updated every week after the contest(s).

## Related Projects

- [LeetCodeRating](https://github.com/zhang-wangz/LeetCodeRating). A Chrome plugin which displays the problem ratings on offical LeetCode website. Currently, it is only available on LeetCode-China site.

- [refined-leetcode](https://github.com/XYShaoKang/refined-leetcode). A Chrome extension which integrates serveral projects and enchances the user experience. It contains features like timer, blocklist, user ratings prediction and problem ratings display. Currently, it is only available on LeetCode-China site.
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 45.2 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 leetcode_problem_rating 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

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joshua4163/Leetcode-Python-zerotrak-questions 中文介绍暂未生成
https://zerotrac.github.io/leetcode_problem_rating/#/
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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送
社区活跃Star 701 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/zerotrac/leetcode_problem_rating.git
cd leetcode_problem_rating
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。