spcl/dace - Open Source PR Review Scorecard

DaCe - Data Centric Parallel Programming

C-Rank Grade: A (Welcoming) - 65/100

External PR Merge Rate: 60%

Response Time: 1d

First Timer Success: 64%

Frequently Asked Questions

Is spcl/dace welcoming to first-time open-source contributors?

spcl/dace has a recorded first-timer success rate of 63.6%. 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 spcl/dace respond to incoming external pull requests in approximately 26.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.0 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 65.0 places spcl/dace in the A tier.

What is the external contributor pull request merge rate for spcl/dace?

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

Are there Good First Issues available in spcl/dace?

spcl/dace currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Mentor

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
25%

Responsive & active maintainer team in spcl/dace. Reviews pull requests with focus on project architectural goals.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Use conventional commit messages and clean branch names
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
1 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
63.6%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
10 core
Highly collaborative maintainer core
Diagnostic Health HUD
60.0%
Merge Gauge
63.6%
1st-Timer
Community Vibe54/100

Embed C-Rank Badge

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

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

Active Good First Issues (2)

View on GitHub

Data descriptors expose total_size, but there is no total_elements. Array.total_size is the allocated span, which can exceed the logical element count when strides or padding are given, so callers that need the number of elements recompute prod(shape) themselves. Proposal: add a total_elements property to dace.data (at least Data, Array, Scalar, Stream), with Scalar returning 1, so that total_elements and total_size are both valid on every descriptor, scalars included.

📅 Opened Sep 14, 2026💬 0 comments
Quality: 90/100Contribute

replace / replace_dict are typed Dict[str, str], but some callers pass other types. symbolic.safe_replace hands its callback sympy symbols (default value_as_string=False), and LoopUnroll passes the loop index as a number. #2583 converts these back with str() where names are stored (LoopRegion.loop_variable, interstate edge assignment keys). That also silently stores non-identifiers such as "3". Proposal: remove the str() casts, make replace/replace_dict reject non-string replacement values, and fix the offending callers at the source. This touches many call sites and needs a full CI run (see the discussion in #2583).

📅 Opened Sep 14, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for spcl/dace

When evaluating whether to contribute to spcl/dace, 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 spcl/dace acknowledge new external contributions in approximately 1 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 spcl/dace

01

Is spcl/dace welcoming to first-time open-source contributors?

spcl/dace has a recorded first-timer success rate of 63.6%. 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 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.0 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 65.0 places spcl/dace in the Welcoming tier.

04

What is the external contributor pull request merge rate for spcl/dace?

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 spcl/dace?

Yes, spcl/dace currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for spcl/dace 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.