tekumara/fakesnow - Open Source PR Review Scorecard

Run, mock and test fake Snowflake databases locally.

C-Rank Grade: A (Welcoming) - 63/100

External PR Merge Rate: 74%

Response Time: <1h

First Timer Success: 67%

Frequently Asked Questions

Is tekumara/fakesnow welcoming to first-time open-source contributors?

tekumara/fakesnow has a recorded first-timer success rate of 66.7%. 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 tekumara/fakesnow 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 62.6 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 62.6 places tekumara/fakesnow in the A tier.

What is the external contributor pull request merge rate for tekumara/fakesnow?

The external contributor pull request merge rate for tekumara/fakesnow is 73.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in tekumara/fakesnow?

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

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tekumara/fakesnowAWelcoming202
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tekumara/fakesnow

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AWelcoming(63/100)Python

Run, mock and test fake Snowflake databases locally.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.2/10
Patience Score
8.4/10
Nitpick Rate
35%

Highly welcoming maintainers in tekumara/fakesnow. Prompt code reviews with positive guidance for new contributors.

What Contributors Actually Say

Discussions in tekumara/fakesnow 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
  • Link the issue and include reproduction context in the PR

Top PR Friction Pitfalls (Don'ts)

  • Do not leave requested test coverage unresolved
  • Do not ship user-facing changes without matching docs
  • Do not open context-free PRs
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
73.7%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
66.7%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
4 core
Small core review team
Diagnostic Health HUD
73.7%
Merge Gauge
66.7%
1st-Timer
Community Vibe79/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for tekumara/fakesnow.

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.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for tekumara/fakesnow

When evaluating whether to contribute to tekumara/fakesnow, 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 tekumara/fakesnow acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 73.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to tekumara/fakesnow

01

Is tekumara/fakesnow welcoming to first-time open-source contributors?

tekumara/fakesnow has a recorded first-timer success rate of 66.7%. 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 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 62.6 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 62.6 places tekumara/fakesnow in the Welcoming tier.

04

What is the external contributor pull request merge rate for tekumara/fakesnow?

The external pull request merge rate is 73.7%. 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 tekumara/fakesnow?

tekumara/fakesnow 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 tekumara/fakesnow 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.