typeddjango/django-stubs - Open Source PR Review Scorecard

PEP-484 stubs for Django

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

External PR Merge Rate: 85%

Response Time: 5h

First Timer Success: 70%

Frequently Asked Questions

Is typeddjango/django-stubs welcoming to first-time open-source contributors?

typeddjango/django-stubs has a recorded first-timer success rate of 70.0%. 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 typeddjango/django-stubs respond to incoming external pull requests in approximately 5.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 71.3 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 71.3 places typeddjango/django-stubs in the S tier.

What is the external contributor pull request merge rate for typeddjango/django-stubs?

The external contributor pull request merge rate for typeddjango/django-stubs is 85.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in typeddjango/django-stubs?

typeddjango/django-stubs currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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PEP-484 stubs for Django

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.5/10
Patience Score
9.2/10
Nitpick Rate
25%

Highly welcoming maintainers in typeddjango/django-stubs. 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
85.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
70.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
25 core
Highly collaborative maintainer core
Diagnostic Health HUD
85.2%
Merge Gauge
70.0%
1st-Timer
Community Vibe81/100

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Active Good First Issues (1)

View on GitHub

Description: Running ./scripts/stubtest.sh on the current version of django-stubs reveals several inconsistencies between the stubs and the runtime environment. Choices Classes Inconsistency (__init__ vs __new__) Multiple errors indicate that IntegerChoices and TextChoices define __init__ with parameters in the stubs, but at runtime, these parameters do not exist in __init__. The error message suggests moving the logic to __new__. Affected modules: django.db.models.enums django.contrib.gis.db.models django.tasks.base Example Error: error: django.db.models.enums.IntegerChoices.__init__ is inconsistent, runtime does not have parameter "x". You may need to write stubs for __new__ instead of __init__. Stub: Overload(def (self: ..., x: ...), def (self: ..., x: ..., label: ...)) Runtime: def (self) Missing members in django.utils.inspect The runtime has lock and safe_signature_from_callable which are completely missing from the stubs. Errors: error: django.utils.inspect.lock is

📅 Opened Mar 2, 2026💬 3 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for typeddjango/django-stubs

When evaluating whether to contribute to typeddjango/django-stubs, 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 typeddjango/django-stubs acknowledge new external contributions in approximately 5 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 85.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to typeddjango/django-stubs

01

Is typeddjango/django-stubs welcoming to first-time open-source contributors?

typeddjango/django-stubs has a recorded first-timer success rate of 70.0%. 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 71.3 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 71.3 places typeddjango/django-stubs in the Elite tier.

04

What is the external contributor pull request merge rate for typeddjango/django-stubs?

The external pull request merge rate is 85.2%. 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 typeddjango/django-stubs?

Yes, typeddjango/django-stubs currently has 1 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 typeddjango/django-stubs 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.