SeaQL/sea-orm - Open Source PR Review Scorecard

🐚 A powerful relational ORM for Rust

C-Rank Grade: A (Welcoming) - 63/100

External PR Merge Rate: 64%

Response Time: -

First Timer Success: 50%

Frequently Asked Questions

Is SeaQL/sea-orm welcoming to first-time open-source contributors?

SeaQL/sea-orm 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 SeaQL/sea-orm 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 63.4 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 63.4 places SeaQL/sea-orm in the A tier.

What is the external contributor pull request merge rate for SeaQL/sea-orm?

The external contributor pull request merge rate for SeaQL/sea-orm is 63.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in SeaQL/sea-orm?

SeaQL/sea-orm currently has 6 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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SeaQL/sea-orm

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InactiveA•Welcoming(63/100)Rust

🐚 A powerful relational ORM for Rust

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Established Rust ecosystem in SeaQL/sea-orm. Maintains structured code review standards for external contributors.

Top PR Submission Do's

  • •Ensure code complies with Rust style conventions
  • •Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
63.7%
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
25 core
Highly collaborative maintainer core
Diagnostic Health HUD
63.7%
Merge Gauge
50.0%
1st-Timer
Community Vibe41/100

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Active Good First Issues (5)

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Description I believe that EntityLoader::load()::with() does not work when trying to additionally select self referencing relations. Below is a hopefully working simple setup which I adapted from my existing project here. It should showcase the issue, but I haven't fully implemented it within a test project. Steps to Reproduce human.rs use sea_orm::entity::prelude::*; #[sea_orm::model] #[derive(Clone, Debug, PartialEq, Eq, DeriveEntityModel)] #[sea_orm(table_name = "humans")] pub struct Model { #[sea_orm(primary_key)] id: i32, #[sea_orm(has_many)] pub hats: HasMany<super::hats::Entity>, #[sea_orm( self_ref, via = "jt_parent_to_child", from = "Humans", to = "Child" )] pub children: HasMany<Entity>, #[sea_orm(self_ref, via = "jt_parent_to_child", reverse)] pub parents: HasMany<Entity>, } impl ActiveModelBehavior for ActiveModel {} jt_parent_child.rs use sea_orm::entity::prelude::*; #[sea_orm::model] #[derive(Clone, Deb

📅 Opened Aug 31, 2026💬 2 comments
Quality: 50/100Contribute

Motivation With a many to many relation like the following, if you want to filter on tag column like note::Entity::load().with(tag::Entity).filter(tag::Column::Name.eq(query)) the query errs with "Query Error: error returned from database: missing FROM-clause entry for table \"tag\" at line 3603". To avoid this, I cannot use EntityLoader but the old EntityTrait::find. Note #[sea_orm::model] #[derive(Clone, Debug, PartialEq, Eq, DeriveEntityModel, Serialize, Deserialize)] #[sea_orm(table_name = "note")] pub struct Model { #[sea_orm(primary_key, auto_increment = false)] pub id: Uuid, #[sea_orm(column_type = "Text")] pub text: String, #[sea_orm(has_many, via = "tags_notes")] pub tags: HasMany<super::tag::Entity>, } Tag #[sea_orm::model] #[derive(Clone, Debug, PartialEq, Eq, DeriveEntityModel, Serialize, Deserialize)] #[sea_orm(table_name = "tag")] pub struct Model { #[sea_orm(primary_key, auto_increment = false)] pub id: Uuid, #[sea_orm(column_type =

📅 Opened Aug 29, 2026💬 0 comments
Quality: 40/100Contribute

Description This is a continuation of #3160, which was closed due to thinking that things were closed by SeaQL/sea-query#1093. This sea-query fixed the issues happening for optional values, but didn't remedy the deserialization problems for non-optional ones. When deserializing an ActiveValue using from_json, if a TimeDateTimeWithTimezone field doesn't have a corresponding value in the JSON payload, somewhere along the way it defaults to a stringified version of the unix epoch, which causes the following error down the line: Json Error: invalid type: string "'1970-01-01 00:00:00.000000 +00:00'", expected an `OffsetDateTime` Steps to Reproduce This is a minimal example of the exact problem I'm having: use sea_orm::entity::prelude::*; use serde::{Deserialize, Serialize}; #[sea_orm::model] #[derive(Clone, Debug, PartialEq, Serialize, Deserialize, DeriveEntityModel)] #[sea_orm(table_name = "example")] #[serde(rename_all = "UPPERCASE")]

📅 Opened Aug 17, 2026💬 11 comments
Quality: 90/100Contribute

Discussed in #3170 Originally posted by kapalla August 13, 2026 A simple model like this #[sea_orm::model] #[derive(Clone, Debug, PartialEq, Eq, DeriveEntityModel)] #[sea_orm(table_name = "cake")] pub struct Model { #[sea_orm(primary_key)] pub id: i32, pub name: String, } causes a clippy error with the -D clippy::derive-partial-eq-without-eq flag or the clippy::nursery group. sea-orm/sea-orm-macros/src/derives/model_ex.rs Lines 100 to 102 in 13be0db if meta.path.is_ident("Eq") { // skip } else if meta.path.is_ident("DeriveEntityModel") {

📅 Opened Aug 13, 2026💬 1 comment
Quality: 80/100Contribute

Motivation The macro for creating models/entities is very useful, but quite limited when it comes to declaring more complex indexes. Some problems include: there is no way to create a partial index there is no way to create a composite index without it being unique (unique_key) the order of columns inside composite indexes matters I don't expect the macro to support more advanced use cases, but there should be a way to specify them manually. But it's problematic with entity-first approach and schema syncing - even if you create the index yourself afterwards, the index would be dropped on the next schema sync, and the index would need to be created every time from scratch. Proposed Solutions don't drop index on schema sync, or add an option for it. add a possibility to specify custom indexes to synchronize

📅 Opened Aug 5, 2026💬 1 comment
Quality: 30/100Contribute
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Contributor Compatibility & Review Speed Analysis for SeaQL/sea-orm

When evaluating whether to contribute to SeaQL/sea-orm, 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 SeaQL/sea-orm acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 63.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to SeaQL/sea-orm

01

Is SeaQL/sea-orm welcoming to first-time open-source contributors?

SeaQL/sea-orm 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 63.4 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 63.4 places SeaQL/sea-orm in the Welcoming tier.

04

What is the external contributor pull request merge rate for SeaQL/sea-orm?

The external pull request merge rate is 63.7%. 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 SeaQL/sea-orm?

Yes, SeaQL/sea-orm currently has 6 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 SeaQL/sea-orm 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.