pythonnative/pythonnative - Open Source PR Review Scorecard

Build native Android and iOS apps in Python.

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

External PR Merge Rate: 41%

Response Time: -

First Timer Success: 50%

Frequently Asked Questions

Is pythonnative/pythonnative welcoming to first-time open-source contributors?

pythonnative/pythonnative has a recorded first-timer success rate of 50.0%. 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 pythonnative/pythonnative respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.7 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 61.7 places pythonnative/pythonnative in the A tier.

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

The external contributor pull request merge rate for pythonnative/pythonnative is 41.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in pythonnative/pythonnative?

pythonnative/pythonnative currently has 10 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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pythonnative/pythonnative

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InactiveA•Welcoming(62/100)Low Sample (<20 PRs)Python

Build native Android and iOS apps in Python.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.5/10
Patience Score
8.6/10
Nitpick Rate
30%

Highly welcoming maintainers in pythonnative/pythonnative. Prompt code reviews with positive guidance for new contributors.

What Contributors Actually Say

Discussions in pythonnative/pythonnative 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

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

Top PR Friction Pitfalls (Don'ts)

  • •Do not leave requested test coverage unresolved
  • •Do not ship user-facing changes without matching docs
  • •Do not open context-free PRs
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
41.2%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
8 core
Highly collaborative maintainer core
Diagnostic Health HUD
41.2%
Merge Gauge
50.0%
1st-Timer
Community Vibe31/100

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Active Good First Issues (5)

View on GitHub

Problem pn codegen exists in _build_parser() and is used in the native-contracts guide, but the hand-written Subcommands list in docs/api/cli.md omits it. Its generated function documentation is only a one-line summary, so users scanning the CLI reference can't discover the options or their defaults. In src/pythonnative/cli/pn.py, the command accepts --output (a path, default generated) and repeatable --module arguments. It imports those schema modules before generation and prints each generated file's path. Requested change Add a pn codegen entry to the CLI Subcommands list covering --output, its default directory, and repeatable --module imports. Add a short example showing an explicit output directory. Explain that extension module names must be importable in the interpreter running pn. Link to docs/guides/native-contracts.md for the extension workflow and to the generated-source section of CONTRIBUTING.md for repository contributors. Explain that this generates contract files and

📅 Opened Sep 10, 2026💬 2 comments
Quality: 60/100Contribute

Problem The async guide tells users that use_query(..., client=...) accepts a pythonnative.query.QueryClient with configurable capacity and stale time. However, there is no docs/api/query.md or query-cache entry in the API navigation. src/pythonnative/query.py already contains QueryClient, QuerySnapshot, and their method docstrings. Readers currently have to open the source to find operations such as invalidate(), set_data(), and close(). Requested change Add docs/api/query.md, following the layout of docs/api/storage.md: a short introduction, an explicitly scoped mkdocstrings block for QueryClient and QuerySnapshot, and related links. Add the page beside the async/data APIs in mkdocs.yml. Link to it from the custom-client paragraph in docs/guides/async.md and the async-hooks section of docs/api/hooks.md. Include a compact example of creating one stable client with capacity and stale_time, passing it to use_query with a hashable key, and invalidating that key. Explain that the owner c

📅 Opened Sep 10, 2026💬 1 comment
Quality: 60/100Contribute

Problem The warning log in src/pythonnative/diagnostics.py retains the most recent 200 messages, returns a snapshot in oldest-first order, and clears both messages and deduplication keys when clear_warnings() is called. tests/test_core_semantics.py already tests deduplication for an explicit key and some production-mode behavior, but it doesn't directly cover log eviction, snapshot isolation, or resetting deduplication. These guarantees keep diagnostics useful during long preview sessions and prevent tests from leaking warning state. Requested change Extend the existing diagnostics-primitives section of tests/test_core_semantics.py, using its dev_mode fixture and pytest capture helpers. No runtime changes are expected. Acceptance criteria Record 201 distinct warnings and assert that exactly the newest 200 remain in oldest-first order. Mutating the list returned by get_warnings() doesn't change the internal log. clear_warnings() empties the log and allows a previously used warn_once ke

📅 Opened Sep 10, 2026💬 1 comment
Quality: 50/100Contribute

Problem src/pythonnative/project/icons.py promises that icon and splash generation returns False when the optional Pillow dependency is unavailable, allowing the build to retain its template assets. dominant_background_color() similarly returns None. The tests in tests/project/test_icons.py cover the successful image-generation paths, but their module-level skipif skips the entire file when Pillow is missing. There are no tests protecting the fallback behavior or proving that it leaves existing assets alone. Requested change Add a separate tests/project/test_icons_optional.py that doesn't import Pillow or inherit the existing module-wide skip. Monkeypatch icons.pillow_available to return False so the tests run regardless of whether Pillow is installed on the contributor's machine. Acceptance criteria generate_ios_icons(), generate_android_icons(), generate_ios_splash(), and generate_android_splash_icon() return False. dominant_background_color() returns None. Missing source files don'

📅 Opened Sep 10, 2026💬 1 comment
Quality: 50/100Contribute

Problem The equal() helper in src/pythonnative/equality.py defines how hook dependencies and state snapshots signal a change. Its contract deliberately treats identity as equal, accepts a boolean comparison result, and treats exceptions or nonboolean comparison results as unequal without coercing them to bool. src/pythonnative/hooks.py uses it for dependency comparison and state updates. The test suite has Element equality tests, but no direct tests for this helper's unusual-comparison behavior. Replacing it with a naive bool(left == right) would break array-like application values. Requested change Add tests/test_equality.py with focused tests of the existing behavior. Use tiny custom Python classes to model unusual comparisons so contributors don't need NumPy or another new dependency. Acceptance criteria Equal and unequal ordinary scalar/container values return actual booleans. The same object returns True without invoking its __eq__, even if that method would raise. Distinct objec

📅 Opened Sep 10, 2026💬 2 comments
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for pythonnative/pythonnative

When evaluating whether to contribute to pythonnative/pythonnative, 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 pythonnative/pythonnative acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 41.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to pythonnative/pythonnative

01

Is pythonnative/pythonnative welcoming to first-time open-source contributors?

pythonnative/pythonnative has a recorded first-timer success rate of 50.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.7 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 61.7 places pythonnative/pythonnative in the Welcoming tier.

04

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

The external pull request merge rate is 41.2%. 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 pythonnative/pythonnative?

Yes, pythonnative/pythonnative currently has 10 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 pythonnative/pythonnative 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.