Joshuaalbert/jaxns - Open Source PR Review Scorecard

Probabilistic Programming and Nested sampling in JAX

C-Rank Grade: A (Welcoming) - 57/100

External PR Merge Rate: 82%

Response Time: 1h

First Timer Success: 100%

Frequently Asked Questions

Is Joshuaalbert/jaxns welcoming to first-time open-source contributors?

Joshuaalbert/jaxns has a recorded first-timer success rate of 100.0%. 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 Joshuaalbert/jaxns respond to incoming external pull requests in approximately 1.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 57.2 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 57.2 places Joshuaalbert/jaxns in the A tier.

What is the external contributor pull request merge rate for Joshuaalbert/jaxns?

The external contributor pull request merge rate for Joshuaalbert/jaxns is 81.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Joshuaalbert/jaxns?

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

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Joshuaalbert/jaxnsA•Welcoming254
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Joshuaalbert/jaxns

254
InactiveA•Welcoming(57/100)Python

Probabilistic Programming and Nested sampling in JAX

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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 Joshuaalbert/jaxns 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
1 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
81.8%
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
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
81.8%
Merge Gauge
100.0%
1st-Timer
Community Vibe92/100

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

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

Active Good First Issues (1)

View on GitHub

Hi Joshua, We're using jaxns for nested sampling in a pulsar timing array (PTA) continuous wave gravitational wave search. The likelihood is a Kalman filter implemented in JAX, and evaluates in ~0.02s on GPU after JIT compilation. What works well: With 2 free parameters, jaxns runs end-to-end in ~30 minutes — roughly 25 min JIT compilation and ~3 min actual sampling (130k likelihood evals, 2500 samples, ESS=314). Evidence computation works perfectly. We're using num_live_points=200, s=3, k=0, max_samples=5000. Where we struggle: Our full model has ~107 free parameters. With this dimensionality, jaxns never gets past JIT compilation — we've waited 7.5 hours on a P100 GPU with no progress beyond "Number of Markov-chains set to: 200". We believe the compilation bottleneck is the XLA trace of the full nested sampling loop including our likelihood, not the sampling itself. The likelihood's computation graph is moderately complex (Kalman filter with lax.scan), and we suspect the combinat

📅 Opened Mar 24, 2026💬 5 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for Joshuaalbert/jaxns

When evaluating whether to contribute to Joshuaalbert/jaxns, 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 Joshuaalbert/jaxns acknowledge new external contributions in approximately 1 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 81.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Joshuaalbert/jaxns

01

Is Joshuaalbert/jaxns welcoming to first-time open-source contributors?

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

03

What does the 57.2 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 57.2 places Joshuaalbert/jaxns in the Welcoming tier.

04

What is the external contributor pull request merge rate for Joshuaalbert/jaxns?

The external pull request merge rate is 81.8%. 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 Joshuaalbert/jaxns?

Joshuaalbert/jaxns 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 Joshuaalbert/jaxns 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.