casact/chainladder-python - Open Source PR Review Scorecard

Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 85%

Response Time: 17h

First Timer Success: 75%

Frequently Asked Questions

Is casact/chainladder-python welcoming to first-time open-source contributors?

casact/chainladder-python has a recorded first-timer success rate of 75.0%. 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 casact/chainladder-python respond to incoming external pull requests in approximately 16.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.6 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 65.6 places casact/chainladder-python in the A tier.

What is the external contributor pull request merge rate for casact/chainladder-python?

The external contributor pull request merge rate for casact/chainladder-python is 85.1%, based on public PR activity from non-core contributors.

Are there Good First Issues available in casact/chainladder-python?

casact/chainladder-python does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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casact/chainladder-python

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AWelcoming(66/100)Python

Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.5/10
Patience Score
9.2/10
Nitpick Rate
25%

Highly welcoming maintainers in casact/chainladder-python. 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
16 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
85.1%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
75.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
13 core
Highly collaborative maintainer core
Diagnostic Health HUD
85.1%
Merge Gauge
75.0%
1st-Timer
Community Vibe74/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for casact/chainladder-python.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

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

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Contributor Compatibility & Review Speed Analysis for casact/chainladder-python

When evaluating whether to contribute to casact/chainladder-python, 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 casact/chainladder-python acknowledge new external contributions in approximately 16 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 85.1% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to casact/chainladder-python

01

Is casact/chainladder-python welcoming to first-time open-source contributors?

casact/chainladder-python has a recorded first-timer success rate of 75.0%. 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 ~16 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.6 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 65.6 places casact/chainladder-python in the Welcoming tier.

04

What is the external contributor pull request merge rate for casact/chainladder-python?

The external pull request merge rate is 85.1%. 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 casact/chainladder-python?

casact/chainladder-python 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 casact/chainladder-python 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.