JuliaGeometry/Meshes.jl - Open Source PR Review Scorecard

Computational geometry in Julia

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 80%

Response Time: 10d

First Timer Success: 57%

Frequently Asked Questions

Is JuliaGeometry/Meshes.jl welcoming to first-time open-source contributors?

JuliaGeometry/Meshes.jl has a recorded first-timer success rate of 57.1%. 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 JuliaGeometry/Meshes.jl respond to incoming external pull requests in approximately 240.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.8 C-Rankβ„’ score (A Tier) represent?

The C-Rankβ„’ 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 61.8 places JuliaGeometry/Meshes.jl in the A tier.

What is the external contributor pull request merge rate for JuliaGeometry/Meshes.jl?

The external contributor pull request merge rate for JuliaGeometry/Meshes.jl is 80.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in JuliaGeometry/Meshes.jl?

JuliaGeometry/Meshes.jl currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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JuliaGeometry/Meshes.jl

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Computational geometry in Julia

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Response Velocity
10 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.3%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
57.1%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
8 core
Highly collaborative maintainer core
Diagnostic Health HUD
80.3%
Merge Gauge
57.1%
1st-Timer
Community Vibe49/100

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

Active Good First Issues (3)

View on GitHub

The following warnings are being emitted by our test suite: Warning: maximum number of subdivisions reached `maxsubdiv=32768`, try increasing the keyword argument `maxsubdiv`. β”” @ HAdaptiveIntegration ~/.julia/packages/HAdaptiveIntegration/OeagO/src/integrate.jl:120 β”Œ Warning: maximum number of subdivisions reached `maxsubdiv=32768`, try increasing the keyword argument `maxsubdiv`. β”” @ HAdaptiveIntegration ~/.julia/packages/HAdaptiveIntegration/OeagO/src/integrate.jl:120 As far as I know, there is no method to print the exact lines that are emitting the warning, so we need to run tests one by one in the REPL to discover the root of the issue. It is likely emitted by some test that calls centroid as we changed the fallback to use h-adaptive integration.

πŸ“… Opened Jul 4, 2026πŸ’¬ 0 comments
Quality: 100/100Contribute

We still need to adjust the code in a few places to get full interactivity within our recipes. For instance, consider the following MWE: using Meshes using Random import GLMakie as Mke boxes = rand(Box, 10) balls = rand(Ball, 10) tetra = rand(Tetrahedron, 10) geoms = shuffle([boxes; balls; tetra]) fig = Mke.Figure() sld = Mke.Slider(fig[1, 1], range=1:length(geoms)) ax3 = Mke.Axis3(fig[2, 1], aspect=:data) sub = Mke.@lift geoms[1:$(sld.value)] viz!(ax3, sub) Mke.on(sld.value) do i Mke.autolimits!(ax3) end fig Because the slider starts with only the first geometry, the direct access to plot[objectid][] registers a single recipe in the compute graph, no matter how much we move the slider: Meshes.jl/ext/geomset.jl Line 14 in 416dfeb geoms = parent(plot.object[]) We need to refactor the code to handle heterogeneous vectors of geometries. There are other places that rely

πŸ“… Opened Jun 7, 2026πŸ’¬ 1 comment
Quality: 80/100Contribute

The following never finishes for me, the julia process just keeps spinning at 100%: julia> import GeoArtifacts julia> using GeoTables julia> using Meshes #using Plots julia> using CairoMakie julia> BRA = GeoArtifacts.GADM.get("BRA", depth = 0) 1Γ—3 GeoTable over 1 GeometrySet β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ GID_0 β”‚ COUNTRY β”‚ geometry β”‚ β”‚ Categorical β”‚ Categorical β”‚ MultiPolygon β”‚ β”‚ [NoUnits] β”‚ [NoUnits] β”‚ πŸ–ˆ GeodeticLatLon{WGS84Latest} β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ BRA β”‚ Brazil β”‚ Multi(1007Γ—PolyArea) β”‚ └─────────────┴

πŸ“… Opened Jun 2, 2026πŸ’¬ 2 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for JuliaGeometry/Meshes.jl

When evaluating whether to contribute to JuliaGeometry/Meshes.jl, 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 JuliaGeometry/Meshes.jl acknowledge new external contributions in approximately 10 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to JuliaGeometry/Meshes.jl

01

Is JuliaGeometry/Meshes.jl welcoming to first-time open-source contributors?

JuliaGeometry/Meshes.jl has a recorded first-timer success rate of 57.1%. 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 ~10 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.8 C-Rankβ„’ score represent?

The C-Rankβ„’ 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 61.8 places JuliaGeometry/Meshes.jl in the Welcoming tier.

04

What is the external contributor pull request merge rate for JuliaGeometry/Meshes.jl?

The external pull request merge rate is 80.3%. 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 JuliaGeometry/Meshes.jl?

Yes, JuliaGeometry/Meshes.jl currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rankβ„’ Indexing Standard

All metrics displayed for JuliaGeometry/Meshes.jl 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.