h2oai/wave - Open Source PR Review Scorecard

Realtime Web Apps and Dashboards for Python and R

C-Rank Grade: B (Solid) - 48/100

External PR Merge Rate: 50%

Response Time: <1h

First Timer Success: -

Frequently Asked Questions

Is h2oai/wave welcoming to first-time open-source contributors?

h2oai/wave 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 h2oai/wave respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 47.8 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 47.8 places h2oai/wave in the B tier.

What is the external contributor pull request merge rate for h2oai/wave?

The external contributor pull request merge rate for h2oai/wave is 50.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in h2oai/wave?

h2oai/wave does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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h2oai/wave

4,256
Active (30d)B•Solid(48/100)Low Sample (<20 PRs)Python

Realtime Web Apps and Dashboards for Python and R

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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 h2oai/wave. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in h2oai/wave 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
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not leave requested test coverage unresolved
  • •Do not break existing tests without fixing them
  • •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
50.0%
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
50.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe50/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for h2oai/wave
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/h2oai/wave)](https://getmerged.abhishekco.de/h2oai/wave?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for h2oai/wave.

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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for h2oai/wave

When evaluating whether to contribute to h2oai/wave, 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 h2oai/wave acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 50.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to h2oai/wave

01

Is h2oai/wave welcoming to first-time open-source contributors?

h2oai/wave 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 47.8 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 47.8 places h2oai/wave in the Solid tier.

04

What is the external contributor pull request merge rate for h2oai/wave?

The external pull request merge rate is 50.0%. 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 h2oai/wave?

h2oai/wave 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 h2oai/wave 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.