pyOpenSci/python-package-guide - Open Source PR Review Scorecard

Python packaging made simple. Recommendations & guidance curated by the pyOpenSci community

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 87%

Response Time: 3h

First Timer Success: 100%

Frequently Asked Questions

Is pyOpenSci/python-package-guide welcoming to first-time open-source contributors?

pyOpenSci/python-package-guide has a recorded first-timer success rate of 100.0%. Repositories ranked S 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 pyOpenSci/python-package-guide respond to incoming external pull requests in approximately 2.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 71.7 C-Rankâ„¢ score (S 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 71.7 places pyOpenSci/python-package-guide in the S tier.

What is the external contributor pull request merge rate for pyOpenSci/python-package-guide?

The external contributor pull request merge rate for pyOpenSci/python-package-guide is 86.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in pyOpenSci/python-package-guide?

pyOpenSci/python-package-guide currently has 50 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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pyOpenSci/python-package-guideS•Elite153
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pyOpenSci/python-package-guide

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S•Elite(72/100)Python

Python packaging made simple. Recommendations & guidance curated by the pyOpenSci community

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.3/10
Patience Score
8.4/10
Nitpick Rate
40%

Highly welcoming maintainers in pyOpenSci/python-package-guide. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
2 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
86.8%
High acceptance rate for external PRs

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
16 core
Highly collaborative maintainer core
Diagnostic Health HUD
86.8%
Merge Gauge
100.0%
1st-Timer
Community Vibe93/100

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GetMerged C-Rank badge for pyOpenSci/python-package-guide
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Active Good First Issues (5)

View on GitHub

This issue is created automatically and should not be edited directly. This issue is for translating package-structure-code.po into Italian. It is one part of the larger effort tracked in the main issue: #717. Start there if you want the full picture and the setup steps. Thank you for helping! If this is your first open source contribution, you are in the right place. If you are working in one of our development sprints at a conference, someone from the pyOpenSci team will be available to help you get set up. Claim your lines To keep our work from overlapping, claim a range of lines before you start: Read the comments below to see which lines are already taken. Add a comment with the lines you will translate. You can copy this: I'm working on lines 1–100. When your part is ready, open a Pull Request and link back to this issue. You can see line numbers when you open the file on GitHub. If you are not sure how much you can take on, start with a small range. You can always claim

📅 Opened Jul 20, 2026💬 0 comments
Quality: 90/100Contribute

This issue is created automatically and should not be edited directly. This issue is for translating documentation.po into Italian. It is one part of the larger effort tracked in the main issue: #717. Start there if you want the full picture and the setup steps. Thank you for helping! If this is your first open source contribution, you are in the right place. If you are working in one of our development sprints at a conference, someone from the pyOpenSci team will be available to help you get set up. Claim your lines To keep our work from overlapping, claim a range of lines before you start: Read the comments below to see which lines are already taken. Add a comment with the lines you will translate. You can copy this: I'm working on lines 1–100. When your part is ready, open a Pull Request and link back to this issue. You can see line numbers when you open the file on GitHub. If you are not sure how much you can take on, start with a small range. You can always claim more late

📅 Opened Jul 20, 2026💬 0 comments
Quality: 90/100Contribute

This issue is created automatically and should not be edited directly. This issue is for translating maintain-automate.po into Italian. It is one part of the larger effort tracked in the main issue: #717. Start there if you want the full picture and the setup steps. Thank you for helping! If this is your first open source contribution, you are in the right place. If you are working in one of our development sprints at a conference, someone from the pyOpenSci team will be available to help you get set up. Claim your lines To keep our work from overlapping, claim a range of lines before you start: Read the comments below to see which lines are already taken. Add a comment with the lines you will translate. You can copy this: I'm working on lines 1–100. When your part is ready, open a Pull Request and link back to this issue. You can see line numbers when you open the file on GitHub. If you are not sure how much you can take on, start with a small range. You can always claim more

📅 Opened Jul 20, 2026💬 0 comments
Quality: 90/100Contribute

This issue is created automatically and should not be edited directly. This issue is for translating tests.po into Italian. It is one part of the larger effort tracked in the main issue: #717. Start there if you want the full picture and the setup steps. Thank you for helping! If this is your first open source contribution, you are in the right place. If you are working in one of our development sprints at a conference, someone from the pyOpenSci team will be available to help you get set up. Claim your lines To keep our work from overlapping, claim a range of lines before you start: Read the comments below to see which lines are already taken. Add a comment with the lines you will translate. You can copy this: I'm working on lines 1–100. When your part is ready, open a Pull Request and link back to this issue. You can see line numbers when you open the file on GitHub. If you are not sure how much you can take on, start with a small range. You can always claim more later. When

📅 Opened Jul 20, 2026💬 0 comments
Quality: 90/100Contribute

This issue is created automatically and should not be edited directly. This issue is for translating TRANSLATING.po into Italian. It is one part of the larger effort tracked in the main issue: #717. Start there if you want the full picture and the setup steps. Thank you for helping! If this is your first open source contribution, you are in the right place. If you are working in one of our development sprints at a conference, someone from the pyOpenSci team will be available to help you get set up. Claim your lines To keep our work from overlapping, claim a range of lines before you start: Read the comments below to see which lines are already taken. Add a comment with the lines you will translate. You can copy this: I'm working on lines 1–100. When your part is ready, open a Pull Request and link back to this issue. You can see line numbers when you open the file on GitHub. If you are not sure how much you can take on, start with a small range. You can always claim more later.

📅 Opened Jul 20, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for pyOpenSci/python-package-guide

When evaluating whether to contribute to pyOpenSci/python-package-guide, 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 pyOpenSci/python-package-guide acknowledge new external contributions in approximately 2 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 86.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to pyOpenSci/python-package-guide

01

Is pyOpenSci/python-package-guide welcoming to first-time open-source contributors?

pyOpenSci/python-package-guide has a recorded first-timer success rate of 100.0%. Repositories ranked Elite 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 ~2 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 71.7 C-Rankâ„¢ score represent?

The C-Rankâ„¢ 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 71.7 places pyOpenSci/python-package-guide in the Elite tier.

04

What is the external contributor pull request merge rate for pyOpenSci/python-package-guide?

The external pull request merge rate is 86.8%. 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 pyOpenSci/python-package-guide?

Yes, pyOpenSci/python-package-guide currently has 50 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rankâ„¢ Indexing Standard

All metrics displayed for pyOpenSci/python-package-guide 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.