apache/iggy - Open Source PR Review Scorecard

Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 80%

Response Time: 3d

First Timer Success: 60%

Frequently Asked Questions

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

apache/iggy has a recorded first-timer success rate of 59.5%. 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 apache/iggy respond to incoming external pull requests in approximately 70.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.8 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 65.8 places apache/iggy in the A tier.

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

The external contributor pull request merge rate for apache/iggy is 80.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in apache/iggy?

apache/iggy currently has 14 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.8/10
Patience Score
8.8/10
Nitpick Rate
25%

Highly welcoming maintainers in apache/iggy. 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
2 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
59.5%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
42 core
Highly collaborative maintainer core
Diagnostic Health HUD
80.2%
Merge Gauge
59.5%
1st-Timer
Community Vibe50/100

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Active Good First Issues (5)

View on GitHub

Bug description Bug description iggy-server panics immediately at startup on Intel macOS (x86_64) and never binds a listener. The build succeeds; the failure is at runtime. The guard in core/server_common/src/executor.rs:87 applies thread_pool_limit(0)` on every target except macOS aarch64 #[cfg(not(all(target_os = "macos", target_arch = "aarch64")))] proactor.thread_pool_limit(0); On macOS x86_64 the condition is therefore true and the zero limit is applied. compio's polling driver (used on macOS, since there is no io_uring) routes fs operations through the blocking pool, so the first fs operation panics. The comment directly above that line describes the exclusion as applying to macOS generally, with no architecture qualifier Expected: server starts on Intel macOS. Actual: panics before binding any listener. Why CI did not catch it The only macOS Rust job is build-macos-aarch64 on macos-14 (.github/workflows/_test.yml:44). macos-15-intel appears only in _build_python_wheels.yml. Inte

📅 Opened Aug 30, 2026💬 2 comments
Quality: 85/100Contribute

Description sdk-python declares tasks: ["lint", "test", "build"], and each task becomes its own job on its own runner. The build task compiles the wheel and throws it away: its dist/ never reaches Upload test artifacts, which only runs under test. So the crate is compiled twice per push and nothing is shared between the jobs. At the same time apache_iggy.pyi has no freshness gate. The file header says it is generated by pyo3_stub_gen, the README says "nothing in CI checks stub freshness", and the stub has already drifted from the source: describe_options sits in a different position with its return type written as builtins.list[OptionSpec], and two docstrings were edited by hand. Checking this needs a built crate, so today there is nowhere cheap to put the check. Affected area / component CI / build / tooling Proposed solution Drop the build task and move maturin build -o dist into test: tasks: ["lint", "test"] lint = ruff + cargo fmt + clippy + pyrefly, unchanged test = wheel + stub

📅 Opened Aug 27, 2026💬 0 comments
Quality: 50/100Contribute

Description Summary Implement an Iggy Source/Sink Connector that consumes data from an upstream Iggy cluster and publishes it into a downstream Iggy cluster. This enables seamless cluster-to-cluster replication and provides the foundation for multi-region deployments, disaster recovery, active-active architectures, edge-to-cloud streaming, and hierarchical streaming topologies. Unlike traditional application-level replication, this connector allows operators to replicate selected streams, partitions, or namespaces without requiring producers or consumers to change. Motivation Many production deployments require data to exist in multiple locations. Today, applications would need to publish to multiple Iggy clusters directly, increasing complexity and coupling replication logic into business applications. A native Iggy Source/Sink Connector would make replication a first-class capability by continuously consuming from one cluster and publishing to another while preserving ordering and de

📅 Opened Jul 28, 2026💬 8 comments
Quality: 50/100Contribute

Description Add an Apache Airflow connector so Iggy can drive event-driven DAGs via the Airflow REST API. This is tracked on the connector ecosystem roadmap (#2753) under Workflow & Orchestration: Target Type Priority Comp Suggested stack Apache Airflow Trigger P4 1/4 reqwest (REST API) Roadmap intent: Iggy sensor/trigger for event-driven DAGs. There is no Airflow sink/source (or trigger plugin) in-tree today, no dedicated implementation issue before this one, and no open PR claiming the work. Motivation Airflow is the industry-standard workflow orchestrator; pairing it with Iggy enables stream-driven DAG triggers instead of polling-only sensors. Existing connectors cover DBs, search, lakehouse, and HTTP egress, but nothing in the workflow/orchestration category is implemented yet (Airflow, Temporal, Prefect, Dagster are all still roadmap-only). A first cut can likely reuse patterns from http_sink (auth, retries, batching) while specializing for Airflow's trigger/DAG-run API

📅 Opened Jul 21, 2026💬 2 comments
Quality: 50/100Contribute

Description Type: ci / security Labels: security, ci, dependencies, A-tooling Source: discussion #3678 Summary Wire cargo deny into the pre-merge CI pipeline (.github/actions/rust/pre-merge) so every PR is gated on advisory scanning, license policy, banned crates, and duplicate-version detection across the full dependency graph. Mirror the check in the local pre-commit config so contributors catch failures before pushing. Motivation cargo audit only covers known vulnerabilities. cargo deny is a superset gate: in addition to RustSec advisories it enforces open-source license policy, bans specific crates, and flags duplicate dependency versions. A pre-merge gate prevents new advisories and policy violations from re-entering the tree after the one-time remediation (sibling audit issue) lands. Reference: https://github.com/EmbarkStudios/cargo-deny Affected area / component Other / not sure Proposed solution Proposed approach Add a committed deny.toml at repo root with sections: [advisori

📅 Opened Jul 19, 2026💬 1 comment
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for apache/iggy

When evaluating whether to contribute to apache/iggy, 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/iggy acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to apache/iggy

01

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

apache/iggy has a recorded first-timer success rate of 59.5%. 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 ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.8 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 65.8 places apache/iggy in the Welcoming tier.

04

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

The external pull request merge rate is 80.2%. 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 apache/iggy?

Yes, apache/iggy currently has 14 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/iggy 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.