TauCetiProject/TauCeti - Open Source PR Review Scorecard

An AIs-welcome Lean library downstream of Mathlib: AI handle the implementation and review, humans write the roadmaps and review rubrics

C-Rank Grade: A (Welcoming) - 69/100

External PR Merge Rate: 10%

Response Time: <1h

First Timer Success: 8%

Frequently Asked Questions

Is TauCetiProject/TauCeti welcoming to first-time open-source contributors?

TauCetiProject/TauCeti has a recorded first-timer success rate of 8.0%. 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 TauCetiProject/TauCeti respond to incoming external pull requests in approximately 0.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 68.8 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 68.8 places TauCetiProject/TauCeti in the A tier.

What is the external contributor pull request merge rate for TauCetiProject/TauCeti?

The external contributor pull request merge rate for TauCetiProject/TauCeti is 10.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in TauCetiProject/TauCeti?

TauCetiProject/TauCeti currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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TauCetiProject/TauCeti

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Active (30d)A•Welcoming(69/100)LELean

An AIs-welcome Lean library downstream of Mathlib: AI handle the implementation and review, humans write the roadmaps and review rubrics

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
6.4/10
Patience Score
7.4/10
Nitpick Rate
45%

Strict review standards in TauCetiProject/TauCeti. Ensure PR scope matches issue requirements closely before requesting review.

What Contributors Actually Say

Discussions in TauCetiProject/TauCeti 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

  • •Update docs or README when behavior changes
  • •Add or update tests for changed behavior before requesting review
  • •Call out API, migration, or compatibility impact clearly

Top PR Friction Pitfalls (Don'ts)

  • •Do not ship user-facing changes without matching docs
  • •Do not leave requested test coverage unresolved
  • •Do not hide breaking changes in implementation details
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
10.2%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
8.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
38 core
Highly collaborative maintainer core
Diagnostic Health HUD
10.2%
Merge Gauge
8.0%
1st-Timer
Community Vibe36/100

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Active Good First Issues (4)

View on GitHub

From a whole-repo quality audit (2026-07-08, at d76e9fa). Verify each claim against current main before acting, and comment here if a claim no longer holds. TauCeti/Analysis/Complex/Conformal/Reflection.lean carries the full pointwise Schwarz-reflection API (schwarzReflection, differentiableOn_conj_conj, eqOn_schwarzReflection_conj_of_real_on_axis, the upper/lower branch lemmas from five separate PRs) but never proves the theorem the file is named after: the ConformalMapping roadmap's L4 milestone, holomorphy of the reflected function across the real axis (DifferentiableOn ℂ F Ω on a symmetric domain, given holomorphy above, continuity up to the axis, and real boundary values). The hcont-style continuity hypothesis that the crossing argument needs is never used, and no Morera-type lemma exists anywhere in the directory. Task (new mathematics; cite TauCetiRoadmap/ConformalMapping/README.md L4 and match Suggested.lean's milestone signature; carry an authoring claim + tauceti-target ma

📅 Opened Jul 8, 2026💬 0 comments
Quality: 40/100Contribute

From a whole-repo quality audit (2026-07-08, at d76e9fa). Verify each claim against current main before acting, and comment here if a claim no longer holds. The ContourIntegration roadmap's distinctive layer, non-integer winding numbers for singularities on the contour (Hungerbühler-Wasem), exists only as definitions that nothing exercises: Analysis/Contour/RegularityConditions.lean's ConditionAprime, ConditionB, SectorCompatible, crossingAngle, basepointAngle, FlatOfOrder each appear in exactly one file (their own): zero consumers, zero instantiation lemmas, so their faithfulness to the paper is currently unfalsifiable. The only computed value is crossingAngle = π at a smooth crossing. ModelSectorWinding.lean's ½ and 1/6 "winding number" theorems evaluate (2πi)⁻¹ ∫ arc at the arc's centre, an off-curve point where the principal value is the ordinary integral; nothing yet computes a winding number to a non-integer value at an on-curve point. (These match the pinned Suggested.

📅 Opened Jul 8, 2026💬 2 comments
Quality: 40/100Contribute

From a whole-repo quality audit (2026-07-08, at d76e9fa). Verify each claim against current main before acting, and comment here if a claim no longer holds. Bernstein's theorem (a function on (0,∞) is completely monotone iff it is the Laplace transform of a unique finite measure) is close to assembled in TauCeti/Analysis/CompletelyMonotone/, but is never stated: BernsteinMeasures.lean (~1500 lines) carries the hard analytic content: the Chafaï approximation (chafaiRescaled, chafai_repeated_ibp, pointwiseBoundedOnUnitInterval) producing the approximating measures. Prokhorov/tightness machinery is available (the audit noted a Prokhorov.lean in the repo's dependency reach). BernsteinMeasures.lean's own docstring (around lines 22-24) defers "the final assembly ... recovering f itself" to "the Bernstein-theorem file", which does not exist. Task (new mathematics; cite TauCetiRoadmap/OneParameterSemigroups/README.md, the completely-monotone/Bernstein part, and carry an authoring claim +

📅 Opened Jul 8, 2026💬 0 comments
Quality: 40/100Contribute

From a whole-repo quality audit (2026-07-08, at d76e9fa). Verify each claim against current main before acting, and comment here if a claim no longer holds. ∂² = 0 for the fully blocked grid complex, the CombinatorialHeegaardFloer roadmap's designated first nontrivial theorem, is not yet proved. What exists: KnotTheory/Grid/DifferentialSquareCoefficient.lean reduces the goal: fullyBlockedDifferential_comp_self_eq_zero_iff (d² = 0 iff every length-two rectangle-count sum vanishes). DifferentialSquareSupport.lean bounds the support to two-step column-swap neighbours; card_fullyBlockedRectangles_le_two exists. The juxtaposition case analysis that discharges the sums (each composite domain decomposes as two empty rectangles in exactly two ways: disjoint, shared-corner, and the excluded annular cases, per Ozsváth-Stipsicz-Szabó's Grid Homology for Knots and Links) is absent. The files' own docstrings say "the statements here do not assert square-zero". Beware: SmallGridDifferential.l

📅 Opened Jul 8, 2026💬 0 comments
Quality: 40/100Contribute
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Contributor Compatibility & Review Speed Analysis for TauCetiProject/TauCeti

When evaluating whether to contribute to TauCetiProject/TauCeti, 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 TauCetiProject/TauCeti acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 10.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to TauCetiProject/TauCeti

01

Is TauCetiProject/TauCeti welcoming to first-time open-source contributors?

TauCetiProject/TauCeti has a recorded first-timer success rate of 8.0%. 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 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 68.8 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 68.8 places TauCetiProject/TauCeti in the Welcoming tier.

04

What is the external contributor pull request merge rate for TauCetiProject/TauCeti?

The external pull request merge rate is 10.2%. 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 TauCetiProject/TauCeti?

Yes, TauCetiProject/TauCeti currently has 4 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 TauCetiProject/TauCeti 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.