jupyter-server/jupyverse - Open Source PR Review Scorecard

Modern Jupyter server based on FastAPI

C-Rank Grade: B (Solid) - 62/100

External PR Merge Rate: 86%

Response Time: 6h

First Timer Success: 100%

Frequently Asked Questions

Is jupyter-server/jupyverse welcoming to first-time open-source contributors?

jupyter-server/jupyverse has a recorded first-timer success rate of 100.0%. 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 jupyter-server/jupyverse respond to incoming external pull requests in approximately 6.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 62.1 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 62.1 places jupyter-server/jupyverse in the B tier.

What is the external contributor pull request merge rate for jupyter-server/jupyverse?

The external contributor pull request merge rate for jupyter-server/jupyverse is 86.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in jupyter-server/jupyverse?

jupyter-server/jupyverse does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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BSolid(62/100)Python

Modern Jupyter server based on FastAPI

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.7/10
Patience Score
8.2/10
Nitpick Rate
30%

Collaborative maintainer environment in jupyter-server/jupyverse. Reviews community pull requests with focus on project quality.

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
6 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
86.4%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
86.4%
Merge Gauge
100.0%
1st-Timer
Community Vibe90/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for jupyter-server/jupyverse.

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 jupyter-server/jupyverse

When evaluating whether to contribute to jupyter-server/jupyverse, 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 jupyter-server/jupyverse acknowledge new external contributions in approximately 6 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 86.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to jupyter-server/jupyverse

01

Is jupyter-server/jupyverse welcoming to first-time open-source contributors?

jupyter-server/jupyverse has a recorded first-timer success rate of 100.0%. 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 ~6 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 62.1 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 62.1 places jupyter-server/jupyverse in the Solid tier.

04

What is the external contributor pull request merge rate for jupyter-server/jupyverse?

The external pull request merge rate is 86.4%. 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 jupyter-server/jupyverse?

jupyter-server/jupyverse 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 jupyter-server/jupyverse 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.