objectionary/eo - Open Source PR Review Scorecard

EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-Calculus

C-Rank Grade: S (Elite) - 73/100

External PR Merge Rate: 76%

Response Time: 5h

First Timer Success: 53%

Frequently Asked Questions

Is objectionary/eo welcoming to first-time open-source contributors?

objectionary/eo has a recorded first-timer success rate of 52.8%. 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 objectionary/eo respond to incoming external pull requests in approximately 5.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 72.9 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 72.9 places objectionary/eo in the S tier.

What is the external contributor pull request merge rate for objectionary/eo?

The external contributor pull request merge rate for objectionary/eo is 76.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in objectionary/eo?

objectionary/eo currently has 85 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-Calculus

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.2/10
Patience Score
8.4/10
Nitpick Rate
35%

Highly welcoming maintainers in objectionary/eo. 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
5 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
76.4%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
52.8%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
20 core
Highly collaborative maintainer core
Diagnostic Health HUD
76.4%
Merge Gauge
52.8%
1st-Timer
Community Vibe73/100

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Active Good First Issues (5)

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What happens The transpile cache is keyed by a directory whose name folds a fingerprint of the whole module's inference tables: this.fingerprint = new Sticky<>(() -> new Fingerprint(tables).get()); tables is target/eo/6-inference, holding links.xml, needs.xml and provides.xml — one document each, listing every object of the module (11M, 2.2M and 1.8M for eo-runtime). Adding a single unrelated object changes all three, so version() changes, so every object of the module misses the cache and is transpiled again into a fresh directory under ~/.eo/transpiled. Two builds, the second with the same two sources byte for byte plus one new unrelated object, sharing one cache directory: after the first : [...-70b8ad9105e7-false-false-false-PhDefault] after the second : [...-369675c6fbf9-false-false-false-PhDefault, ...-70b8ad9105e7-false-false-false-PhDefault] Both directories hold bool.xmir and bytes.xmir; the first one is now orphaned and nothing prunes it. Why it is wro

📅 Opened Aug 29, 2026💬 0 comments
Quality: 75/100Contribute

What happens CoverageManifest.locations counts an anonymous formation, and the transpiler never wraps it, so its line can never be hit. For this source: +package examples [] > x bool > @ [] ? >> left ? >> right right > @ the manifest holds three locations: [Φ.examples.x.φ:4:2, Φ.examples.x.φ.α0:5:4, Φ.examples.x.φ.α0.φ:8:6] and the generated Java carries new PhCoverage(...) for two of them. Φ.examples.x.φ.α0:5:4, the [] on line 5, is only in the manifest. Feeding every location the transpiler does instrument into coverage-report as a hit still leaves DA:5,0, so the file reports 2 of 3 lines covered and no test can move it. Why it is wrong The manifest is meant to hold what a transpile would instrument — its javadoc says so, "the same string PhCoverage records a hit under". An anonymous formation becomes a nested class through anonymous-to-nested.xsl, and to-java.xsl never applies its mode="located" template to those, so the two sides of the repo

📅 Opened Aug 29, 2026💬 0 comments
Quality: 75/100Contribute

What happens Source.spans() treats every standalone \\r as a line terminator. A source using classic-Mac line endings therefore parses successfully, although the parser specification allows only LF (\\n) and CRLF (\\r\\n). [] > app\\r foo > x\\r The \\r characters above are literal U+000D bytes, not the two-character escape sequence. The parser accepts the file, emits app with child x, and reports no line-ending diagnostic. What should happen The lexical layer should accept only \\n and \\r\\n as line endings, as required by R-2.1.2. A standalone carriage return should be rejected with a deterministic parse error (or otherwise reported as an unsupported line ending), rather than silently changing the source line structure. How it was verified I rebuilt eo-parser from the current master and parsed the Java string "[] > app\\r foo > x\\r". EoSyntax returned an empty /object/errors list and emitted the two expected object names. The current implementation's Source.spans() branch for gl

📅 Opened Aug 29, 2026💬 1 comment
Quality: 75/100Contribute

The multi-line BYTES merger accepts any continuation that is at least as deep as its opener. It does not enforce R-2.2.2, which limits an indentation increase between consecutive non-blank lines to one level (two spaces). What happens Parse this source: [] > app CA-FE- BE-BE The continuation jumps from two leading spaces to six, skipping the four-space level. EoSyntax accepts the source and merges both chunks into one Φ.bytes value; no indent increased by more than one level error is emitted. What should happen A BYTES continuation should obey the same one-level indentation rule as every other line. The example should be rejected with indent increased by more than one level; a valid continuation may stay at the opener's indent or increase by one level only. How it was verified The example was parsed on the current master; the parser emitted no <errors> entry and returned a single merged bytes value. Significant whitespace determines EO structure. The special BYTES path curren

📅 Opened Aug 29, 2026💬 1 comment
Quality: 75/100Contribute

Span.leading() (eo-parser/src/main/java/org/eolang/parser/Span.java:137-142) counts by Character.isWhitespace. Span.tabbed() (lines 145-155) walks only ' ' and '\t' characters. Eo.leadingSpaces() (eo-parser/src/main/java/org/eolang/parser/Eo.java:308-314), used by the text-block indent check in Eo.continueTextBlock, counts only literal ' '. The same source line can measure a different "indent" depending on which of the three happens to be called on it, and a line inside a text block passes through both Span's notion (via the ordinary dispatch it bypasses) and Eo's own leadingSpaces without the two ever being reconciled. Routing every leading-whitespace measurement through one shared definition — Span.indent(), since it already backs the odd-indent and tab checks — would remove the risk of the text-block path disagreeing with the rest of the parser about what counts as indentation. @yegor256

📅 Opened Aug 27, 2026💬 0 comments
Quality: 75/100Contribute
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Contributor Compatibility & Review Speed Analysis for objectionary/eo

When evaluating whether to contribute to objectionary/eo, 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 objectionary/eo acknowledge new external contributions in approximately 5 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 76.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to objectionary/eo

01

Is objectionary/eo welcoming to first-time open-source contributors?

objectionary/eo has a recorded first-timer success rate of 52.8%. 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 ~5 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 72.9 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 72.9 places objectionary/eo in the Elite tier.

04

What is the external contributor pull request merge rate for objectionary/eo?

The external pull request merge rate is 76.4%. 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 objectionary/eo?

Yes, objectionary/eo currently has 85 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 objectionary/eo 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.