JuliaEditorSupport/JuliaFormatter.jl - Open Source PR Review Scorecard

An opinionated code formatter for Julia. Plot twist - the opinion is your own.

C-Rank Grade: S (Elite) - 71/100

External PR Merge Rate: 90%

Response Time: 1d

First Timer Success: 83%

Frequently Asked Questions

Is JuliaEditorSupport/JuliaFormatter.jl welcoming to first-time open-source contributors?

JuliaEditorSupport/JuliaFormatter.jl has a recorded first-timer success rate of 83.3%. Repositories ranked S 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 JuliaEditorSupport/JuliaFormatter.jl respond to incoming external pull requests in approximately 27.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 70.7 C-Rank™ score (S 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 70.7 places JuliaEditorSupport/JuliaFormatter.jl in the S tier.

What is the external contributor pull request merge rate for JuliaEditorSupport/JuliaFormatter.jl?

The external contributor pull request merge rate for JuliaEditorSupport/JuliaFormatter.jl is 89.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in JuliaEditorSupport/JuliaFormatter.jl?

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

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JuliaEditorSupport/JuliaFormatter.jl

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An opinionated code formatter for Julia. Plot twist - the opinion is your own.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.3/10
Patience Score
9.0/10
Nitpick Rate
30%

Highly welcoming maintainers in JuliaEditorSupport/JuliaFormatter.jl. Prompt code reviews with positive guidance for new contributors.

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
1 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
89.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
83.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
89.8%
Merge Gauge
83.3%
1st-Timer
Community Vibe71/100

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GetMerged C-Rank badge for JuliaEditorSupport/JuliaFormatter.jl
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Active Good First Issues (4)

View on GitHub

julia> s = "x;;;; y" "x;;;; y" julia> ft(s) "x;;;;\ny" There's an argument here that we should get rid of three of those semicolons.

📅 Opened Jul 26, 2026💬 1 comment
Quality: 75/100Contribute

Would it be possible to add an option that controls the whitespace surrounding (nested) brackets? I'm one of the few people that think the following f( g( h( a[ 1 ] ), b ) ) is more readable than f(g(h(a[1]), b)) The above example is a bit extreme but even just h( a[ 1 ], b ) looks nicer to me than h(a[1], b) I assume whitespace lovers don't really agree on whether f( g( x ) ) is better than f( g(x) ) (i.e. extra whitespace after every opening and before every closing bracket vs only for nested brackets) so I would propose to have two options extra whitespace only for nested expressions. The inner most brackets of any subexpression have regular spacing. f(g(h(a[1], b), k(x))) would become f( g( h( a[1], b ), k(x) ) ) extra whitespace after every opening and before every closing bracket f(g(h(a[1], b), k(x))) would become f( g( h( a[ 1 ], b ), k( x ) ) ) I'm sorry if this is too much of a niche request and I hope I don't start a flamewar here (a bit hard to avoid though when posting

📅 Opened Jun 11, 2026💬 1 comment
Quality: 55/100Contribute

the intent of the pre-commit config is presumably to make sure that JuliaFormatter is formatted with the current version of itself. JuliaFormatter.jl/.pre-commit-config.yaml Line 8 in 09da91d entry: "jlfmt --inplace" however invoking jlfmt does not necessarily achieve that as jlfmt could be literally any version of JuliaFormatter. it will only give the right behaviour if the person running it has done ]app dev . before that.

📅 Opened Jun 3, 2026💬 0 comments
Quality: 80/100Contribute

Consider: s = """ (; a= >=(1)) (; a=2) (; a=+2) (; a=+x) (; a=+x/2) (; a=+(2)) """ using JuliaFormatter: format_text as ft ft(s; whitespace_in_kwargs=false) |> println Looking at #360 and #361 the real underlying reason behind that PR was to make sure that the first of the above did not get converted into (; a=>=1), which would fail to parse as => is an operator. However, looking at the actual code in #361 it's very clear that the intent was to parenthesise anything on the RHS that began with an operator. This is overly cautious, because =+ is not a valid operator and thus things like (; a=+x) parse totally fine. Now, recent versions of JuliaFormatter have led to changes in the underlying operator-detection mechanism. This is the outcome with several different versions of JuliaFormatter: v1.0.62 v2.5.2 # 1011 (; a=(>=(1))) (; a=(>=(1))) (; a=(>=(1))) (; a=2) (; a=2) (; a=2) (; a=+2) (; a=+2) (; a=+2) (; a=+x) (; a=(+x)

📅 Opened May 31, 2026💬 2 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for JuliaEditorSupport/JuliaFormatter.jl

When evaluating whether to contribute to JuliaEditorSupport/JuliaFormatter.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 JuliaEditorSupport/JuliaFormatter.jl acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 89.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to JuliaEditorSupport/JuliaFormatter.jl

01

Is JuliaEditorSupport/JuliaFormatter.jl welcoming to first-time open-source contributors?

JuliaEditorSupport/JuliaFormatter.jl has a recorded first-timer success rate of 83.3%. Repositories ranked Elite 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 70.7 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 70.7 places JuliaEditorSupport/JuliaFormatter.jl in the Elite tier.

04

What is the external contributor pull request merge rate for JuliaEditorSupport/JuliaFormatter.jl?

The external pull request merge rate is 89.8%. 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 JuliaEditorSupport/JuliaFormatter.jl?

Yes, JuliaEditorSupport/JuliaFormatter.jl 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 JuliaEditorSupport/JuliaFormatter.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.