apache/asyncband - Open Source PR Review Scorecard

This crate provides concurrency control and async coordination primitives that are runtime agnostic.

C-Rank Grade: S (Elite) - 75/100

External PR Merge Rate: 72%

Response Time: 3h

First Timer Success: 38%

Frequently Asked Questions

Is apache/asyncband welcoming to first-time open-source contributors?

apache/asyncband has a recorded first-timer success rate of 37.5%. 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 apache/asyncband respond to incoming external pull requests in approximately 3.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 75.1 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 75.1 places apache/asyncband in the S tier.

What is the external contributor pull request merge rate for apache/asyncband?

The external contributor pull request merge rate for apache/asyncband is 71.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in apache/asyncband?

apache/asyncband currently has 7 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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apache/asyncbandS•Elite278
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apache/asyncband

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Active (30d)S•Elite(75/100)Rust

This crate provides concurrency control and async coordination primitives that are runtime agnostic.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.7/10
Patience Score
8.2/10
Nitpick Rate
30%

Collaborative maintainer environment in apache/asyncband. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in apache/asyncband 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

  • •Link the issue and include reproduction context in the PR
  • •Add or update tests for changed behavior before requesting review
  • •Update docs or README when behavior changes

Top PR Friction Pitfalls (Don'ts)

  • •Do not open context-free PRs
  • •Do not leave requested test coverage unresolved
  • •Do not ship user-facing changes without matching docs
Response Velocity
3 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
71.6%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
37.5%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
23 core
Highly collaborative maintainer core
Diagnostic Health HUD
71.6%
Merge Gauge
37.5%
1st-Timer
Community Vibe67/100

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Active Good First Issues (5)

View on GitHub

Motivation Follow-up to #341, with the earlier discussion in #335. Asyncband currently expects executor waker operations to be non-panicking and does not promise recovery from panicking waker operations. Removing the previous recovery machinery made notification and permit-distribution paths substantially easier to follow. A wake callback can still panic after a batch of waiters has been detached, interrupting the remaining notifications. Investigate whether we can attempt those remaining wakes with a small, clear implementation, without restoring the complexity removed in #341. Research questions Which real-world executor or custom-waker scenarios benefit from recovery, and what behavior should callers observe after catching the panic? Can an ownership or RAII-based approach provide useful recovery? Distinguish cleaning up remaining wakers from actually waking them, and account for a later wake also panicking or cleanup running during an existing unwind. What state must be committed

📅 Opened Oct 2, 2026💬 3 comments
Quality: 90/100Contribute

An object pool needs to decide whether a resource can be reused, while applications may need to understand why it was rejected. Asyncband currently checks idle objects during checkout, discards is_recyclable errors, and retries. Returning an object does not run this check. We would like to explore: Typical uses for recycling diagnostics, such as investigating failed health checks or resets, and whether an optional error sink would help. When checks belong at checkout, before return, or in caller code, including discarding an object already known to be broken. Whether a separate synchronous check has a concrete benefit. Prefer asynchronous checks for operations such as network pings; a synchronous hook should need a demonstrated use case. Contributions could start with representative use cases and a small API proposal, informed by other object pools. No breaking change or particular API is assumed by this discussion.

📅 Opened Sep 21, 2026💬 1 comment
Quality: 90/100Contribute

Goal Explore measurable performance improvements to the competing MPMC queues introduced in #265. Preserve their delivery, strict bounded capacity, cancellation, and disconnection contracts. The existing mutex-based implementation is a valid baseline; a lock-free rewrite is not a prerequisite. Candidates to investigate Queue and waiter coordination. Shared uses a queue mutex plus separate sender and receiver semaphores, each with its own waiter lock. Profile lock acquisitions, cache contention, and retries after a notified task loses the race. Compare this with keeping queue state and waiter bookkeeping under one mutex before introducing more elaborate synchronization. Separate bounded and unbounded internals where useful. Both currently share capacity: Option<usize> and both semaphore fields, although unbounded sends never wait for capacity. A smaller unbounded state and a bounded-specific capacity model may simplify hot paths. Public endpoint types can stay unchanged. Bounded storag

📅 Opened Sep 11, 2026💬 0 comments
Quality: 90/100Contribute

Motivation The bounded MPMC queue added in #265 provides send and try_send, but lacks the capacity reservation API already available on bounded MPSC. Callers should be able to wait for space before constructing a message, or keep ownership of a message while racing a capacity wait against cancellation. Proposed API Add BoundedSender::reserve, BoundedSender::try_reserve, and a borrowed mpmc::Permit<'_, T>, following the existing MPSC API: pub async fn reserve(&self) -> Result<Permit<'_, T>, SendError<()>>; pub fn try_reserve(&self) -> Result<Permit<'_, T>, TrySendError<()>>; // On Permit<'_, T>: pub fn send(self, value: T) -> Result<(), SendError<T>>; Contract Queued messages, held permits, and capacity granted to pending waiters together must not exceed the configured capacity. A notification alone does not reserve a slot: the current MPMC wake-and-retry protocol needs explicit capacity ownership. Grant capacity in wait-queue order, as bounded MPSC does. New sends and reservations mu

📅 Opened Sep 11, 2026💬 1 comment
Quality: 90/100Contribute

Summary Add a runtime-agnostic asyncband::event::AutoResetEvent under the existing event feature. It should retain at most one unassigned signal and release one waiter per delivered signal, consuming the signal automatically when a wait succeeds. This fills the single-permit notification gap identified in the primitive survey. Related: #218. The manual-reset event issue #221 explicitly excluded auto-reset and Tokio-style single-permit notification semantics. Motivation A background worker or a serialized drain operation may need a payload-free "recheck the predicate" signal. Notifications must survive the interval between checking the external state and registering a wait, while repeated notifications without a consumer can coalesce. The existing primitives represent different contracts: Condvar does not retain notifications and coordinates waiting with a mutex-protected predicate. ManualResetEvent releases all registered waits and remains set for future waits until explicitly reset.

📅 Opened Sep 8, 2026💬 2 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for apache/asyncband

When evaluating whether to contribute to apache/asyncband, 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 apache/asyncband acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 71.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to apache/asyncband

01

Is apache/asyncband welcoming to first-time open-source contributors?

apache/asyncband has a recorded first-timer success rate of 37.5%. 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 ~3 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 75.1 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 75.1 places apache/asyncband in the Elite tier.

04

What is the external contributor pull request merge rate for apache/asyncband?

The external pull request merge rate is 71.6%. 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 apache/asyncband?

Yes, apache/asyncband currently has 7 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 apache/asyncband 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.