BenderBlog/traintime_pda - Open Source PR Review Scorecard

开源的西电学生信息查询软件,包括课表查询、成绩查询、电费查询等功能。手机版称为 XDYou

C-Rank Grade: A (Welcoming) - 65/100

External PR Merge Rate: 58%

Response Time: 1d

First Timer Success: 55%

Frequently Asked Questions

Is BenderBlog/traintime_pda welcoming to first-time open-source contributors?

BenderBlog/traintime_pda has a recorded first-timer success rate of 54.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in BenderBlog/traintime_pda respond to incoming external pull requests in approximately 25.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.2 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 65.2 places BenderBlog/traintime_pda in the A tier.

What is the external contributor pull request merge rate for BenderBlog/traintime_pda?

The external contributor pull request merge rate for BenderBlog/traintime_pda is 57.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in BenderBlog/traintime_pda?

BenderBlog/traintime_pda currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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BenderBlog/traintime_pda

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Active (30d)A•Welcoming(65/100)Dart

开源的西电学生信息查询软件,包括课表查询、成绩查询、电费查询等功能。手机版称为 XDYou

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AI Maintainer Review Guidelines

Review Persona

Constructive Code Reviewer

Warmth Score
8.2/10
Patience Score
8.4/10
Nitpick Rate
22%

Balanced & professional review environment in BenderBlog/traintime_pda. Maintains strict focus on technical quality and test standards.

Top PR Submission Do's

  • •Verify all existing package test suites run cleanly
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
57.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
54.5%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
10 core
Highly collaborative maintainer core
Diagnostic Health HUD
57.8%
Merge Gauge
54.5%
1st-Timer
Community Vibe50/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for BenderBlog/traintime_pda
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/BenderBlog/traintime_pda)](https://getmerged.abhishekco.de/BenderBlog/traintime_pda?utm_source=github&utm_medium=badge)

Active Good First Issues (3)

View on GitHub

目前计划是:一个日程组带有若干个日程

📅 Opened Oct 2, 2026💬 0 comments
Quality: 75/100Contribute

背景 在 #128 中,我重构了新增用户自定义课程的逻辑,引入了新的数据类型和数据流,使得添加用户自定义课程可以精确到每一分钟。由于使用了 DateTime 无法和原来的索引模式兼容,所以我移除了周重复。 但是,有同学反馈很需要这个功能,所以我觉得可以让它以另一种形式回归。 方案 在新增用户自定义课程的窗口中,当用户选中第一个日期后的弹窗底部添加一个周重复模块,在上面计算并标记出当前日期所在的周索引,并且允许用户选择其他的周索引,然后用户确认之后,自动在被选中的日期数组中添加计算得出的日期。这样避免了用户反复选择日期,同时兼容现有的数据类型,而且操作流程比较符合直觉(我建议在新增用户自定义课程的窗口加以少量的文字以说明)。 难度 实现难度较低。

📅 Opened Sep 25, 2026💬 0 comments
Quality: 75/100Contribute

White Mountain Edition 紧急发布 1.6.4 - Lucky Star Edition 观察空调查询详情: 是否能计算每日耗电、然后画图 每日仅获取一次电量信息是否合适 存储基础设施更新: 分离 Repo 和 Storage 类 引入 flutter_secure_storage 引入加密的 sqlite + json 存储本程序所有的信息 国际化基础设施更新: 迁移当前国际化设施 整理翻译状况 继续推进组件化: iLife789 体育查询 网络查询 图书馆: 搜索页面重写

📅 Opened Jul 25, 2026💬 0 comments
Quality: 65/100Contribute
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Contributor Compatibility & Review Speed Analysis for BenderBlog/traintime_pda

When evaluating whether to contribute to BenderBlog/traintime_pda, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of BenderBlog/traintime_pda acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 57.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to BenderBlog/traintime_pda

01

Is BenderBlog/traintime_pda welcoming to first-time open-source contributors?

BenderBlog/traintime_pda has a recorded first-timer success rate of 54.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.2 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 65.2 places BenderBlog/traintime_pda in the Welcoming tier.

04

What is the external contributor pull request merge rate for BenderBlog/traintime_pda?

The external pull request merge rate is 57.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in BenderBlog/traintime_pda?

Yes, BenderBlog/traintime_pda currently has 3 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for BenderBlog/traintime_pda are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.