dsp56300/gearmulator - Open Source PR Review Scorecard

Low Level Emulation of classic VA synths & effects of the late 90s/2000s by emulating the used ICs

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

External PR Merge Rate: 60%

Response Time: 3d

First Timer Success: 50%

Frequently Asked Questions

Is dsp56300/gearmulator welcoming to first-time open-source contributors?

dsp56300/gearmulator has a recorded first-timer success rate of 50.0%. 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 dsp56300/gearmulator respond to incoming external pull requests in approximately 62.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 48.1 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 48.1 places dsp56300/gearmulator in the B tier.

What is the external contributor pull request merge rate for dsp56300/gearmulator?

The external contributor pull request merge rate for dsp56300/gearmulator is 60.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in dsp56300/gearmulator?

dsp56300/gearmulator does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

dsp56300
dsp56300/gearmulatorBSolid1.3k
GitHub
Back to Explorer
dsp56300

dsp56300/gearmulator

1,250
BSolid(48/100)C++

Low Level Emulation of classic VA synths & effects of the late 90s/2000s by emulating the used ICs

Compare
Jump to:

AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in dsp56300/gearmulator welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • Ensure code complies with repository style conventions
  • Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without context
  • Do not break existing automated test suites
Response Velocity
2 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
60.0%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
60.0%
Merge Gauge
50.0%
1st-Timer
Community Vibe39/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for dsp56300/gearmulator
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/dsp56300/gearmulator)](https://getmerged.abhishekco.de/dsp56300/gearmulator?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for dsp56300/gearmulator.

View all good first issues directly on GitHub

Looking for more C++ beginner tasks?Explore C++ 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 dsp56300/gearmulator

When evaluating whether to contribute to dsp56300/gearmulator, 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 dsp56300/gearmulator acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 60.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to dsp56300/gearmulator

01

Is dsp56300/gearmulator welcoming to first-time open-source contributors?

dsp56300/gearmulator has a recorded first-timer success rate of 50.0%. 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 ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 48.1 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 48.1 places dsp56300/gearmulator in the Solid tier.

04

What is the external contributor pull request merge rate for dsp56300/gearmulator?

The external pull request merge rate is 60.0%. 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 dsp56300/gearmulator?

dsp56300/gearmulator 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 dsp56300/gearmulator 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.