GoogleCloudPlatform/vertex-ai-samples - Open Source PR Review Scorecard

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

C-Rank Grade: B (Solid) - 43/100

External PR Merge Rate: 67%

Response Time: 95d

First Timer Success: -

Frequently Asked Questions

Is GoogleCloudPlatform/vertex-ai-samples welcoming to first-time open-source contributors?

GoogleCloudPlatform/vertex-ai-samples has a recorded first-timer success rate of 0.0%. 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 GoogleCloudPlatform/vertex-ai-samples respond to incoming external pull requests in approximately 2282.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 42.7 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 42.7 places GoogleCloudPlatform/vertex-ai-samples in the B tier.

What is the external contributor pull request merge rate for GoogleCloudPlatform/vertex-ai-samples?

The external contributor pull request merge rate for GoogleCloudPlatform/vertex-ai-samples is 66.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in GoogleCloudPlatform/vertex-ai-samples?

GoogleCloudPlatform/vertex-ai-samples does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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GoogleCloudPlatform/vertex-ai-samples

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BSolid(43/100)JUJupyter Notebook

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in GoogleCloudPlatform/vertex-ai-samples. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in GoogleCloudPlatform/vertex-ai-samples 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

  • 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
95 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
66.7%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
66.7%
Merge Gauge
0.0%
1st-Timer
Community Vibe27/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for GoogleCloudPlatform/vertex-ai-samples.

View all good first issues directly on GitHub

Looking for more Jupyter Notebook beginner tasks?Explore Jupyter Notebook 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 GoogleCloudPlatform/vertex-ai-samples

When evaluating whether to contribute to GoogleCloudPlatform/vertex-ai-samples, 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 GoogleCloudPlatform/vertex-ai-samples acknowledge new external contributions in approximately 95 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 66.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to GoogleCloudPlatform/vertex-ai-samples

01

Is GoogleCloudPlatform/vertex-ai-samples welcoming to first-time open-source contributors?

GoogleCloudPlatform/vertex-ai-samples has a recorded first-timer success rate of 0.0%. 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 ~95 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 42.7 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 42.7 places GoogleCloudPlatform/vertex-ai-samples in the Solid tier.

04

What is the external contributor pull request merge rate for GoogleCloudPlatform/vertex-ai-samples?

The external pull request merge rate is 66.7%. 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 GoogleCloudPlatform/vertex-ai-samples?

GoogleCloudPlatform/vertex-ai-samples 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 GoogleCloudPlatform/vertex-ai-samples 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.