PecanProject/pecan - Open Source PR Review Scorecard

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

C-Rank Grade: S (Elite) - 73/100

External PR Merge Rate: 100%

Response Time: <1h

First Timer Success: 100%

Frequently Asked Questions

Is PecanProject/pecan welcoming to first-time open-source contributors?

PecanProject/pecan 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 PecanProject/pecan respond to incoming external pull requests in approximately 0.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 73.0 C-Rank™ 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 73.0 places PecanProject/pecan in the S tier.

What is the external contributor pull request merge rate for PecanProject/pecan?

The external contributor pull request merge rate for PecanProject/pecan is 100.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in PecanProject/pecan?

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

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The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.6/10
Patience Score
8.2/10
Nitpick Rate
25%

Collaborative maintainer environment in PecanProject/pecan. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in PecanProject/pecan focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • 1) Keep PR scope strictly aligned with the linked issue.
  • 2) Ensure local linters pass before opening a review.
  • 3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • Add or update tests for changed behavior before requesting review
  • Update docs or README when behavior changes
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not leave requested test coverage unresolved
  • Do not ship user-facing changes without matching docs
  • Do not mix unrelated refactors in a single PR
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
100.0%
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
2 core
Small core review team
Diagnostic Health HUD
100.0%
Merge Gauge
100.0%
1st-Timer
Community Vibe99/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

Description Note to new contributors: Thank you for considering this task! This is larger than many “good first issues.” You are welcome to turn a subset of steps into a sub-task and take that on. And please reach out on Slack for guidance! The PEcAn model READMEs and documentation are minimal and mostly include generic template material. This issue focuses on the PEcAn.SIPNET model docs because: SIPNET is one of PEcAn’s exemplar model couplers, and The standalone SIPNET documentation is relatively up to date: https://pecanproject.github.io/sipnet Current limitations: The SIPNET docs in the PEcAn book (https://pecanproject.github.io/pecan-documentation/develop/models-sipnet.html) have missing fields (e.g. homepage, authors) and still contain generic template text. The PEcAn.SIPNET README is very sparse. Information is split between the README and the PEcAn book page, and it’s not clear how they relate. The goal of this issue is to: Improve the PEcAn.SIPNET README so it a

📅 Opened Dec 6, 2025💬 2 comments
Quality: 70/100Contribute

Description BADM_IC_process() in modules/data.land/R/IC_BADM_Utilities.R currently implements its own ad‑hoc logic to distinguish single‑site vs multi‑site runs by checking for a top‑level "run" element and then wrapping settings in list(settings) Proposed Refactor Use PEcAn.settings::papply() instead of manual normalization papply() internally handles is.Settings() / is.MultiSettings() type checking Update tests to ensure this consistent behavior across single-site and multi-site configurations.

📅 Opened Dec 5, 2025💬 7 comments
Quality: 70/100Contribute

Description The PEcAn repo has many GitHub labels (see the labels page), including duplicates, rarely used, and obsolete labels. We also have an automated PR labeler workflow in .github/labeler.yml. This issue aims to simplify and document the repository labels. Goals Reduce the labels to a smaller, clearer, documented set. Avoid duplicates / near-duplicates and obsolete labels. Keep labeler.yml in sync with the final label set. Tasks Inventory current labels Make a list of existing labels in a google doc or spreadsheet so the team can help with this. Provide a link to spreadsheet here: Identify: Duplicates and synonyms Obsolete labels - those with few or zero associated issues/PRs and / or otherwise not particularly helpful New Label Audit and Propose updates - request input from maintainers / community Do we want to standardize around category: label format? if so, categorize labels. Color scheme Labels to combine (identify replacement) Labels to remove Color scheme Sho

📅 Opened Dec 4, 2025💬 8 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for PecanProject/pecan

When evaluating whether to contribute to PecanProject/pecan, 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 PecanProject/pecan acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 100.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to PecanProject/pecan

01

Is PecanProject/pecan welcoming to first-time open-source contributors?

PecanProject/pecan 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 73.0 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 73.0 places PecanProject/pecan in the Elite tier.

04

What is the external contributor pull request merge rate for PecanProject/pecan?

The external pull request merge rate is 100.0%. 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 PecanProject/pecan?

Yes, PecanProject/pecan 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 PecanProject/pecan 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.