LifeArchiveProject/WeChatDataAnalysis - Open Source PR Review Scorecard

微信4.x数据解密并生成年度总结,高仿微信,实时更新,导出和修改聊天记录,朋友圈,收藏,自动回复等大量便捷功能

C-Rank Grade: B (Solid) - 54/100

External PR Merge Rate: 61%

Response Time: 11h

First Timer Success: 100%

Frequently Asked Questions

Is LifeArchiveProject/WeChatDataAnalysis welcoming to first-time open-source contributors?

LifeArchiveProject/WeChatDataAnalysis has a recorded first-timer success rate of 100.0%. Repositories ranked B 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 LifeArchiveProject/WeChatDataAnalysis respond to incoming external pull requests in approximately 10.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 54.1 C-Rank™ score (B 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 54.1 places LifeArchiveProject/WeChatDataAnalysis in the B tier.

What is the external contributor pull request merge rate for LifeArchiveProject/WeChatDataAnalysis?

The external contributor pull request merge rate for LifeArchiveProject/WeChatDataAnalysis is 61.1%, based on public PR activity from non-core contributors.

Are there Good First Issues available in LifeArchiveProject/WeChatDataAnalysis?

LifeArchiveProject/WeChatDataAnalysis does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

LifeArchiveProject
LifeArchiveProject/WeChatDataAnalysisBSolid2.3k
GitHub
Back to Explorer
LifeArchiveProject

LifeArchiveProject/WeChatDataAnalysis

2,311
BSolid(54/100)Python

微信4.x数据解密并生成年度总结,高仿微信,实时更新,导出和修改聊天记录,朋友圈,收藏,自动回复等大量便捷功能

Compare
Jump to:

AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active Python repository in LifeArchiveProject/WeChatDataAnalysis with ongoing community development and issue triage.

Top PR Submission Do's

  • Ensure code complies with Python style conventions
  • Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without context
  • Do not break existing automated test suites
Response Velocity
10 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
61.1%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
61.1%
Merge Gauge
100.0%
1st-Timer
Community Vibe77/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for LifeArchiveProject/WeChatDataAnalysis.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for LifeArchiveProject/WeChatDataAnalysis

When evaluating whether to contribute to LifeArchiveProject/WeChatDataAnalysis, 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 LifeArchiveProject/WeChatDataAnalysis acknowledge new external contributions in approximately 10 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.1% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to LifeArchiveProject/WeChatDataAnalysis

01

Is LifeArchiveProject/WeChatDataAnalysis welcoming to first-time open-source contributors?

LifeArchiveProject/WeChatDataAnalysis has a recorded first-timer success rate of 100.0%. Repositories ranked Solid 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 ~10 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 54.1 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 54.1 places LifeArchiveProject/WeChatDataAnalysis in the Solid tier.

04

What is the external contributor pull request merge rate for LifeArchiveProject/WeChatDataAnalysis?

The external pull request merge rate is 61.1%. 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 LifeArchiveProject/WeChatDataAnalysis?

LifeArchiveProject/WeChatDataAnalysis does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for LifeArchiveProject/WeChatDataAnalysis 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.